Crawler Summary

fred-mcp-server answer-first brief

Federal Reserve Economic Data (FRED) MCP Server - Access all 800,000+ economic time series with search, browse, and data retrieval capabilities Federal Reserve Economic Data MCP Server $1 $1 $1 $1 $1 [!IMPORTANT] *Disclaimer*: This open-source project is not affiliated with, sponsored by, or endorsed by the *Federal Reserve* or the *Federal Reserve Bank of St. Louis*. "FRED" is a registered trademark of the *Federal Reserve Bank of St. Louis*, used here for descriptive purposes only. A Model Context Protocol (MCP) server providing universal access to all 800 Capability contract not published. No trust telemetry is available yet. 65 GitHub stars reported by the source. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

fred-mcp-server is best for fred, federal-reserve, economic-data workflows where MCP compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB MCP, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 98/100

fred-mcp-server

Federal Reserve Economic Data (FRED) MCP Server - Access all 800,000+ economic time series with search, browse, and data retrieval capabilities Federal Reserve Economic Data MCP Server $1 $1 $1 $1 $1 [!IMPORTANT] *Disclaimer*: This open-source project is not affiliated with, sponsored by, or endorsed by the *Federal Reserve* or the *Federal Reserve Bank of St. Louis*. "FRED" is a registered trademark of the *Federal Reserve Bank of St. Louis*, used here for descriptive purposes only. A Model Context Protocol (MCP) server providing universal access to all 800

MCPself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals65 GitHub stars

Capability contract not published. No trust telemetry is available yet. 65 GitHub stars reported by the source. Last updated 2/25/2026.

65 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 25, 2026

Vendor

Stefanoamorelli

Artifacts

0

Benchmarks

0

Last release

1.1.0

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 65 GitHub stars reported by the source. Last updated 2/25/2026.

Setup snapshot

git clone https://github.com/stefanoamorelli/fred-mcp-server.git
  1. 1

    Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Stefanoamorelli

profilemedium
Observed Feb 25, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

MCP

contractmedium
Observed Feb 25, 2026Source linkProvenance
Adoption (1)

Adoption signal

65 GitHub stars

profilemedium
Observed Feb 25, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Executable Examples

text

Amorelli, S. (2025). Federal Reserve Economic Data MCP (Model Context Protocol) Server (Version 1.0.2) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.14536707

bibtex

@software{amorelli_2025_14536707,
  author       = {Amorelli, Stefano},
  title        = {{Federal Reserve Economic Data MCP (Model Context
                   Protocol) Server}},
  month        = jan,
  year         = 2025,
  publisher    = {Zenodo},
  version      = {1.0.2},
  doi          = {10.5281/zenodo.14536707},
  url          = {https://doi.org/10.5281/zenodo.14536707}
}

bash

npx -y @smithery/cli install @stefanoamorelli/fred-mcp-server --client claude

bash

git clone https://github.com/stefanoamorelli/fred-mcp-server.git
    cd fred-mcp-server

bash

pnpm install

bash

pnpm build

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Federal Reserve Economic Data (FRED) MCP Server - Access all 800,000+ economic time series with search, browse, and data retrieval capabilities Federal Reserve Economic Data MCP Server $1 $1 $1 $1 $1 [!IMPORTANT] *Disclaimer*: This open-source project is not affiliated with, sponsored by, or endorsed by the *Federal Reserve* or the *Federal Reserve Bank of St. Louis*. "FRED" is a registered trademark of the *Federal Reserve Bank of St. Louis*, used here for descriptive purposes only. A Model Context Protocol (MCP) server providing universal access to all 800

Full README

Federal Reserve Economic Data MCP Server

smithery badge npm version DOI License: AGPL v3 Tests

[!IMPORTANT] Disclaimer: This open-source project is not affiliated with, sponsored by, or endorsed by the Federal Reserve or the Federal Reserve Bank of St. Louis. "FRED" is a registered trademark of the Federal Reserve Bank of St. Louis, used here for descriptive purposes only.

A Model Context Protocol (MCP) server providing universal access to all 800,000+ Federal Reserve Economic Data (FRED®) time series through three powerful tools.

https://github.com/user-attachments/assets/66c7f3ad-7b0e-4930-b1c5-a675a7eb1e09

[!TIP] If you use this project in your research or work, please cite it using the CITATION.cff file, or use the following citation:

APA Format:

Amorelli, S. (2025). Federal Reserve Economic Data MCP (Model Context Protocol) Server (Version 1.0.2) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.14536707

BibTeX:

@software{amorelli_2025_14536707,
  author       = {Amorelli, Stefano},
  title        = {{Federal Reserve Economic Data MCP (Model Context
                   Protocol) Server}},
  month        = jan,
  year         = 2025,
  publisher    = {Zenodo},
  version      = {1.0.2},
  doi          = {10.5281/zenodo.14536707},
  url          = {https://doi.org/10.5281/zenodo.14536707}
}

Installation

Installing via Smithery

To install Federal Reserve Economic Data Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @stefanoamorelli/fred-mcp-server --client claude

Manual Installation

  1. Clone the repository:
    git clone https://github.com/stefanoamorelli/fred-mcp-server.git
    cd fred-mcp-server
    
  2. Install dependencies:
    pnpm install
    
  3. Build the project:
    pnpm build
    

Configuration

This server requires a FRED® API key. You can obtain one from the FRED® website.

Install the server, for example, on Claude Desktop, modify the claude_desktop_config.json file and add the following configuration:

{
  "mcpServers": {
    "FRED MCP Server": {
      "command": "/usr/bin/node",
      "args": [
        "<PATH_TO_YOUR_CLONED_REPO>/fred-mcp-server/build/index.js"
      ],
      "env": {
        "FRED_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Using Docker

You can also run the FRED MCP Server using Docker. Add this configuration to your claude_desktop_config.json:

{
  "mcpServers": {
    "fred-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "FRED_API_KEY=<your-key-here>",
        "stefanoamorelli/fred-mcp-server:latest"
      ],
      "env": {}
    }
  }
}

Replace <your-key-here> with your actual FRED API key.

Using Streamable HTTP Transport

For network deployments, you can run the server with Streamable HTTP transport instead of stdio:

# Using CLI flag
node build/index.js --http

# Or using environment variable
TRANSPORT=http node build/index.js

# Custom port (default is 3000)
PORT=8080 node build/index.js --http

The server will be available at http://localhost:3000/mcp (or your custom port).

Example client request:

# Initialize session
curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"my-client","version":"1.0.0"}}}'

# Use the mcp-session-id from the response header for subsequent requests
curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "mcp-session-id: <session-id-from-init>" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list"}'

Available Tools

This MCP server provides three comprehensive tools to access all 800,000+ FRED® economic data series:

fred_browse

Description: Browse FRED's complete catalog through categories, releases, or sources.

Parameters:

  • browse_type (required): Type of browsing - "categories", "releases", "sources", "category_series", "release_series"
  • category_id (optional): Category ID for browsing subcategories or series within a category
  • release_id (optional): Release ID for browsing series within a release
  • limit (optional): Maximum number of results (default: 50)
  • offset (optional): Number of results to skip for pagination
  • order_by (optional): Field to order results by
  • sort_order (optional): "asc" or "desc"

fred_search

Description: Search for FRED economic data series by keywords, tags, or filters.

Parameters:

  • search_text (optional): Text to search for in series titles and descriptions
  • search_type (optional): "full_text" or "series_id"
  • tag_names (optional): Comma-separated list of tag names to filter by
  • exclude_tag_names (optional): Comma-separated list of tag names to exclude
  • limit (optional): Maximum number of results (default: 25)
  • offset (optional): Number of results to skip for pagination
  • order_by (optional): Field to order by (e.g., "popularity", "last_updated")
  • sort_order (optional): "asc" or "desc"
  • filter_variable (optional): Filter by "frequency", "units", or "seasonal_adjustment"
  • filter_value (optional): Value to filter the variable by

fred_get_series

Description: Retrieve data for any FRED series by its ID with support for transformations and date ranges.

Parameters:

  • series_id (required): The FRED series ID (e.g., "GDP", "UNRATE", "CPIAUCSL")
  • observation_start (optional): Start date in YYYY-MM-DD format
  • observation_end (optional): End date in YYYY-MM-DD format
  • limit (optional): Maximum number of observations
  • offset (optional): Number of observations to skip
  • sort_order (optional): "asc" or "desc"
  • units (optional): Data transformation:
    • "lin" (levels/no transformation)
    • "chg" (change from previous period)
    • "ch1" (change from year ago)
    • "pch" (percent change)
    • "pc1" (percent change from year ago)
    • "pca" (compounded annual rate of change)
    • "cch" (continuously compounded rate of change)
    • "log" (natural log)
  • frequency (optional): Frequency aggregation ("d", "w", "m", "q", "a")
  • aggregation_method (optional): "avg" (average), "sum", or "eop" (end of period)

Example Usage

With these three tools, you can:

  • Browse all economic categories and discover available data
  • Search for specific indicators by keywords or tags
  • Retrieve any of the 800,000+ series with custom transformations
  • Access real-time economic data including GDP, unemployment, inflation, interest rates, and more

Social Media Shoutouts 📣

[!NOTE] Want to be featured? Tag Stefano Amorelli on LinkedIn or @stefanoamorelli on X in your post about using FRED MCP Server, or submit a PR to add your shoutout!

We're grateful for the community support! Here are some mentions from amazing people:

<details open> <summary><b>Scott G</b> - "One of my breakthrough moments for 'getting' what is possible with Claude was this fred-mcp-server project..."</summary> <br> <a href="https://www.linkedin.com/posts/sgoley_as-many-of-us-continue-to-use-llms-more-and-activity-7372401049669885952-ha6M"> <img src="assets/social/linkedin-sgoley.jpg" alt="LinkedIn post by Scott G - Fintech & Data Analytics Professional" width="600"> </a> <br> <i>Scott G - Fintech & Data Analytics Professional</i> | <a href="https://www.linkedin.com/in/sgoley/">LinkedIn Profile</a> </details> <details open> <summary><b>John Shelburne</b> - "The FRED MCP Server is a game-changer for financial analysis..."</summary> <br> <a href="https://www.linkedin.com/posts/shelburne_ai-finance-innovation-activity-7341141860880478210-JQe4"> <img src="assets/social/linkedin-john-shelburne.jpg" alt="LinkedIn post by John Shelburne" width="600"> </a> <br> <i>John Shelburne - Fixed Income Fintech Leader with 20+ Years of Experience | Machine Learning & Cloud Computing Specialist</i> | <a href="https://www.linkedin.com/in/shelburne/">LinkedIn Profile</a> </details> <!-- Add more social media posts here using the format above -->

Testing

See TESTING.md for more details.

# Run all tests
pnpm test

# Run specific tests
pnpm test:registry

License ⚖️

This open-source project is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0). This means:

  • You can use, modify, and distribute this software
  • If you modify and distribute it, you must release your changes under AGPL-3.0
  • If you run a modified version on a server, you must provide the source code to users
  • See the LICENSE file for full details

For commercial licensing options or other licensing inquiries, please contact stefano@amorelli.tech.

© 2025 Stefano Amorelli

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB MCP

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

MCP: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/mcp-stefanoamorelli-fred-mcp-server/snapshot"
curl -s "https://xpersona.co/api/v1/agents/mcp-stefanoamorelli-fred-mcp-server/contract"
curl -s "https://xpersona.co/api/v1/agents/mcp-stefanoamorelli-fred-mcp-server/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITLAB_AI_CATALOGgitlab-mcp

Rank

83

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

80

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-openapi

Rank

74

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-actix-web

Rank

72

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-stefanoamorelli-fred-mcp-server/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-stefanoamorelli-fred-mcp-server/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-stefanoamorelli-fred-mcp-server/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-stefanoamorelli-fred-mcp-server/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-stefanoamorelli-fred-mcp-server/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-stefanoamorelli-fred-mcp-server/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T02:18:41.289Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "fred",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "federal-reserve",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "economic-data",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "timeseries",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "financial-data",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "model-context-protocol",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cli",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:MCP|unknown|profile capability:fred|supported|profile capability:federal-reserve|supported|profile capability:economic-data|supported|profile capability:timeseries|supported|profile capability:financial-data|supported|profile capability:model-context-protocol|supported|profile capability:mcp|supported|profile capability:cli|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Stefanoamorelli",
    "href": "https://github.com/stefanoamorelli/fred-mcp-server#README.md",
    "sourceUrl": "https://github.com/stefanoamorelli/fred-mcp-server#README.md",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:23:01.553Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-stefanoamorelli-fred-mcp-server/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-stefanoamorelli-fred-mcp-server/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:23:01.553Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "65 GitHub stars",
    "href": "https://github.com/stefanoamorelli/fred-mcp-server",
    "sourceUrl": "https://github.com/stefanoamorelli/fred-mcp-server",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:23:01.553Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-stefanoamorelli-fred-mcp-server/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-stefanoamorelli-fred-mcp-server/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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