How should mcp-memory-server be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this mcp.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

mcp-memory-server answer-first brief

MCP Server with persistent conversational memory using CosmosDB and ChromaDB 🧠 MCP Memory Server $1 $1 $1 $1 **Advanced Memory System for Claude Desktop** - Transform Claude into an AI assistant with photographic memory using MCP (Model Context Protocol). ✨ What it does Imagine Claude with **persistent memory** that: - 🧠 **Remembers everything** from your conversations - 🔍 **Automatically retrieves context** when you reference past topics - 🤖 **Understands references** like "that project" Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

mcp-memory-server is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 100/100

mcp-memory-server

MCPverified

Public facts

Change events

Artifacts

Freshness

Feb 22, 2026

Verifiededitorial-content1 verified compatibility signal1 GitHub stars

Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/24/2026.

1 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 22, 2026

Vendor

Yourusername

Artifacts

Benchmarks

Last release

1.0.0

Executive Summary

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

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/24/2026.

View Source Homepage

Setup snapshot

git clone https://github.com/PlumyCat/mcp-memory-server.git

1
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
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

Yourusername

profilemedium

Observed Feb 24, 2026Source link Provenance

Compatibility (2)

Protocol compatibility

MCP

contracthigh

Observed Feb 24, 2026Source link Provenance

Auth modes

mcp, api_key

contracthigh

Observed Feb 24, 2026Source link Provenance

Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh

Observed Feb 24, 2026Source link Provenance

Adoption (1)

Adoption signal

1 GitHub stars

profilemedium

Observed Feb 24, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

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

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

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

Self-declaredGITHUB MCP

Extracted files

Examples

Snippets

Languages

typescript

Executable Examples

bash

git clone https://github.com/PlumyCat/mcp-memory-server.git
cd mcp-memory-server
npm install
npm run build

bash

cp .env.example .env
# Edit .env with your API keys

json

{
  "mcpServers": {
    "memory": {
      "command": "node",
      "args": ["/path/to/mcp-memory-server/dist/index.js"],
      "cwd": "/path/to/mcp-memory-server"
    }
  }
}

text

You: "I'm working on a TypeScript project using CosmosDB"
Claude: [Responds normally + automatic background storage]

# Later...
You: "What was that project we discussed?"
Claude: "You mentioned working on a TypeScript project using CosmosDB..."

text

mcp-memory-server/
├── src/
│   ├── config/          # Azure Cosmos DB configuration
│   ├── memory/          # Core memory system (RAG, storage, graph)
│   ├── types/           # TypeScript type definitions
│   ├── utils/           # Entity extraction, context injection
│   └── server.ts        # Main MCP server implementation
├── scripts/             # Maintenance and health check scripts
├── tests/               # Unit and integration tests
├── docs/                # Technical documentation
└── dist/                # Compiled JavaScript (generated)

mermaid

graph TD
    A[User Message] --> B[Entity Extraction]
    B --> C[Embedding Generation]
    C --> D[CosmosDB Storage]
    D --> E[Semantic Search]
    E --> F[Context Injection]
    F --> G[Enhanced Claude Response]

Docs & README

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

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Full README

🧠 MCP Memory Server

Advanced Memory System for Claude Desktop - Transform Claude into an AI assistant with photographic memory using MCP (Model Context Protocol).

✨ What it does

Imagine Claude with persistent memory that:

🧠 Remembers everything from your conversations
🔍 Automatically retrieves context when you reference past topics
🤖 Understands references like "that project", "this company", "he/she"
📈 Builds knowledge over time across all your sessions
🛠️ Auto-captures results from web searches and other tools

🚀 Quick Start

Prerequisites

Node.js 18+
Azure Cosmos DB account
OpenAI API key
Claude Desktop

Installation

git clone https://github.com/PlumyCat/mcp-memory-server.git
cd mcp-memory-server
npm install
npm run build

Configuration

Environment setup:

cp .env.example .env
# Edit .env with your API keys

Claude Desktop configuration:

{
  "mcpServers": {
    "memory": {
      "command": "node",
      "args": ["/path/to/mcp-memory-server/dist/index.js"],
      "cwd": "/path/to/mcp-memory-server"
    }
  }
}

Test the magic:

You: "I'm working on a TypeScript project using CosmosDB"
Claude: [Responds normally + automatic background storage]

# Later...
You: "What was that project we discussed?"
Claude: "You mentioned working on a TypeScript project using CosmosDB..."

🎯 Key Features

🧠 Intelligent Memory Storage

Automatic entity extraction (people, companies, projects, tools)
Semantic storage with OpenAI embeddings
Conversation context preservation
Smart deduplication

🔍 Advanced Search & Retrieval

Semantic similarity search
Entity relationship mapping
Timeline-based retrieval
Context-aware responses

🤖 Entity Resolution

Automatic pronoun resolution ("he" → "John Smith")
Reference understanding ("that company" → "Microsoft")
Cross-conversation entity linking
Confidence scoring

📊 Analytics & Insights

Conversation pattern analysis
Entity interaction timelines
Knowledge growth tracking
Usage statistics

🛠️ Available Tools

The server provides 6 MCP tools for Claude:

| Tool | Description | Example Usage | |------|-------------|---------------| | memory_store | Store information with auto entity extraction | Automatically triggered during conversations | | memory_search | Semantic search through stored memories | "Find all discussions about React" | | context_inject | Get relevant context for current query | "What did we discuss about this project?" | | entity_resolve | Resolve references to actual entities | "Who is 'he' referring to?" | | conversation_analyze | Analyze conversation patterns | "Show my discussion statistics" | | memory_timeline | Get timeline of entity interactions | "Timeline of Microsoft mentions" |

📁 Project Structure

mcp-memory-server/
├── src/
│   ├── config/          # Azure Cosmos DB configuration
│   ├── memory/          # Core memory system (RAG, storage, graph)
│   ├── types/           # TypeScript type definitions
│   ├── utils/           # Entity extraction, context injection
│   └── server.ts        # Main MCP server implementation
├── scripts/             # Maintenance and health check scripts
├── tests/               # Unit and integration tests
├── docs/                # Technical documentation
└── dist/                # Compiled JavaScript (generated)

🏗️ Architecture

Core Components

RAG System: Vector similarity search with OpenAI embeddings
Entity Extractor: NLP-based entity recognition with custom patterns
Memory Storage: Optimized CosmosDB integration with smart indexing
Context Injector: Intelligent context retrieval for conversations
Graph Engine: Entity relationship mapping and traversal

Data Flow

graph TD
    A[User Message] --> B[Entity Extraction]
    B --> C[Embedding Generation]
    C --> D[CosmosDB Storage]
    D --> E[Semantic Search]
    E --> F[Context Injection]
    F --> G[Enhanced Claude Response]

🔧 Configuration

Environment Variables

# Azure Cosmos DB
COSMOS_ENDPOINT=https://your-account.documents.azure.com:443/
COSMOS_KEY=your-primary-key
COSMOS_DATABASE_NAME=memory-db
COSMOS_CONTAINER_CONVERSATIONS=conversations
COSMOS_CONTAINER_ENTITIES=entities

# OpenAI
OPENAI_API_KEY=your-openai-api-key

# Optional
NODE_ENV=production
LOG_LEVEL=info
MEMORY_RETENTION_DAYS=30

Advanced Configuration

See Configuration Guide for detailed setup options.

🧪 Testing

# Run all tests
npm test

# Health check
npm run health-check

# Test memory functionality
npm run test-memory

📊 Performance

Storage: Optimized CosmosDB indexing for sub-100ms queries
Search: Vector similarity with 95%+ accuracy
Memory: Efficient entity deduplication and compression
Scalability: Handles 1000+ entities with consistent performance

🛣️ Roadmap

✅ Completed

Core memory storage and retrieval
Entity extraction and resolution
Semantic search with embeddings
CosmosDB integration
MCP server implementation

🔄 In Progress

[ ] Intelligent entity deduplication
[ ] Auto-capture of all MCP tool results
[ ] Enhanced entity classification patterns
[ ] Contradiction detection system

🔮 Planned

[ ] Multi-user memory isolation
[ ] Graph traversal with Gremlin queries
[ ] Advanced analytics dashboard
[ ] Memory compression and archiving

See Roadmap for detailed feature planning.

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Setup

git clone https://github.com/PlumyCat/mcp-memory-server.git
cd mcp-memory-server
npm install
npm run dev

📚 Documentation

Usage Guide - Comprehensive usage examples
API Reference - Detailed API documentation
Architecture - Technical architecture details
Troubleshooting - Common issues and solutions

🆘 Support

📖 Check the Usage Guide for examples
🐛 Report issues on GitHub Issues
💬 Discuss on GitHub Discussions

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

Model Context Protocol (MCP) for the foundational protocol
Claude Desktop for the AI assistant platform
Azure Cosmos DB for scalable data storage
OpenAI for embedding generation
Compromise.js for natural language processing

⭐ Star History

Made with ❤️ for the Claude Desktop community

Contract & API

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

Verifiedcapability-contract

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

Data region

global

Protocol support

MCP: verified

Requires: mcp, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.

Trust confidence is not low and verification freshness is acceptable.

Protocol support is explicitly confirmed in contract metadata.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-server/snapshot"

curl -s "https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-server/contract"

curl -s "https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-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

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

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-openapi

Rank

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

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": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/PlumyCat/mcp-memory-server#input",
  "outputSchemaRef": "https://github.com/PlumyCat/mcp-memory-server#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:46:46.647Z",
  "sourceUpdatedAt": "2026-02-24T19:46:46.647Z",
  "freshnessSeconds": 4421392
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-server/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-server/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-server/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-server/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-server/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-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": "2026-04-16T23:56:38.784Z"
    }
  },
  "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": "supported",
      "confidenceSource": "contract",
      "notes": "Confirmed by capability contract"
    },
    {
      "key": "mcp",
      "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": "memory",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "conversational-ai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cosmosdb",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "azure",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "langchain",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "rag",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "typescript",
      "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|supported|contract capability:mcp|supported|profile capability:model-context-protocol|supported|profile capability:memory|supported|profile capability:ai|supported|profile capability:conversational-ai|supported|profile capability:cosmosdb|supported|profile capability:azure|supported|profile capability:langchain|supported|profile capability:rag|supported|profile capability:typescript|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": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-server/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-server/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:46.647Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-server/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-server/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:46.647Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/PlumyCat/mcp-memory-server#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-server/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:46.647Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Yourusername",
    "href": "https://github.com/yourusername/mcp-memory-server#readme",
    "sourceUrl": "https://github.com/yourusername/mcp-memory-server#readme",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "href": "https://github.com/PlumyCat/mcp-memory-server",
    "sourceUrl": "https://github.com/PlumyCat/mcp-memory-server",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-server/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-plumycat-mcp-memory-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
  }
]