Xpersona

Crawler Summary

apcore-mcp answer-first brief

Automatic MCP Server & OpenAI Tools Bridge for apcore <div align="center"> <img src="https://raw.githubusercontent.com/aipartnerup/apcore-mcp/main/apcore-mcp-logo.svg" alt="apcore-mcp logo" width="200"/> </div> apcore-mcp Automatic MCP Server & OpenAI Tools Bridge for $1. Converts apcore module registries into $1 tool definitions and $1 formats — zero boilerplate required. Features - **MCP Server** — Expose apcore modules as MCP tools over stdio, Streamable HTTP, or SSE Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

apcore-mcp is best for apcore, mcp, model-context-protocol 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 89/100

apcore-mcp

Automatic MCP Server & OpenAI Tools Bridge for apcore <div align="center"> <img src="https://raw.githubusercontent.com/aipartnerup/apcore-mcp/main/apcore-mcp-logo.svg" alt="apcore-mcp logo" width="200"/> </div> apcore-mcp Automatic MCP Server & OpenAI Tools Bridge for $1. Converts apcore module registries into $1 tool definitions and $1 formats — zero boilerplate required. Features - **MCP Server** — Expose apcore modules as MCP tools over stdio, Streamable HTTP, or SSE

MCPself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 2/25/2026.

1 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 25, 2026

Vendor

Aipartnerup

Artifacts

0

Benchmarks

0

Last release

0.4.0

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. 1 GitHub stars reported by the source. Last updated 2/25/2026.

View Source

Setup snapshot

git clone https://github.com/aipartnerup/apcore-mcp-typescript.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

Aipartnerup

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

Protocol compatibility

MCP

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

Adoption signal

1 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

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

0

Examples

6

Snippets

0

Languages

typescript

Executable Examples

bash

npm install apcore-mcp

typescript

import { serve, toOpenaiTools } from "apcore-mcp";

// Launch MCP server over stdio
await serve(executor);

// Launch over Streamable HTTP
await serve(executor, {
  transport: "streamable-http",
  host: "127.0.0.1",
  port: 8000,
});

// Export OpenAI tool definitions
const tools = toOpenaiTools(registry, {
  embedAnnotations: true,
  strict: true,
});

bash

# stdio (default)
npx apcore-mcp --extensions-dir ./extensions

# Streamable HTTP
npx apcore-mcp --extensions-dir ./extensions --transport streamable-http --port 8000

# SSE
npx apcore-mcp --extensions-dir ./extensions --transport sse --port 8000

typescript

function serve(
  registryOrExecutor: Registry | Executor,
  options?: {
    transport?: "stdio" | "streamable-http" | "sse";
    host?: string;
    port?: number;
    name?: string;
    version?: string;
  }
): Promise<void>;

typescript

function toOpenaiTools(
  registryOrExecutor: Registry | Executor,
  options?: {
    embedAnnotations?: boolean;
    strict?: boolean;
    tags?: string[];
    prefix?: string;
  }
): OpenAIToolDef[];

text

src/
├── index.ts              # Public API: serve(), toOpenaiTools()
├── cli.ts                # CLI entry point
├── types.ts              # TypeScript interfaces
├── adapters/
│   ├── schema.ts         # JSON Schema $ref inlining
│   ├── annotations.ts    # Module annotations -> MCP hints
│   ├── errors.ts         # Error sanitization
│   └── idNormalizer.ts   # Dot-notation <-> dash-notation
├── converters/
│   └── openai.ts         # OpenAI tool definition converter
└── server/
    ├── factory.ts        # MCP Server creation & handler registration
    ├── router.ts         # Tool call execution routing
    ├── transport.ts      # Transport lifecycle (stdio/HTTP/SSE)
    └── listener.ts       # Dynamic registry event listener

Docs & README

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

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Automatic MCP Server & OpenAI Tools Bridge for apcore <div align="center"> <img src="https://raw.githubusercontent.com/aipartnerup/apcore-mcp/main/apcore-mcp-logo.svg" alt="apcore-mcp logo" width="200"/> </div> apcore-mcp Automatic MCP Server & OpenAI Tools Bridge for $1. Converts apcore module registries into $1 tool definitions and $1 formats — zero boilerplate required. Features - **MCP Server** — Expose apcore modules as MCP tools over stdio, Streamable HTTP, or SSE

Full README
<div align="center"> <img src="https://raw.githubusercontent.com/aipartnerup/apcore-mcp/main/apcore-mcp-logo.svg" alt="apcore-mcp logo" width="200"/> </div>

apcore-mcp

Automatic MCP Server & OpenAI Tools Bridge for apcore.

Converts apcore module registries into Model Context Protocol (MCP) tool definitions and OpenAI-compatible function calling formats — zero boilerplate required.

Features

  • MCP Server — Expose apcore modules as MCP tools over stdio, Streamable HTTP, or SSE
  • OpenAI Tools — Convert modules to OpenAI function calling format with strict mode support
  • Schema Conversion — Inline $defs/$ref from Pydantic-generated JSON Schema
  • Annotation Mapping — Map module annotations to MCP hints and OpenAI description suffixes
  • Error Mapping — Sanitize internal errors for safe client-facing responses
  • Dynamic Registration — Listen for registry changes and update tools at runtime
  • CLI — Launch an MCP server from the command line

Requirements

  • Node.js >= 18.0.0
  • apcore (peer dependency)

Installation

npm install apcore-mcp

Quick Start

Programmatic API

import { serve, toOpenaiTools } from "apcore-mcp";

// Launch MCP server over stdio
await serve(executor);

// Launch over Streamable HTTP
await serve(executor, {
  transport: "streamable-http",
  host: "127.0.0.1",
  port: 8000,
});

// Export OpenAI tool definitions
const tools = toOpenaiTools(registry, {
  embedAnnotations: true,
  strict: true,
});

CLI

# stdio (default)
npx apcore-mcp --extensions-dir ./extensions

# Streamable HTTP
npx apcore-mcp --extensions-dir ./extensions --transport streamable-http --port 8000

# SSE
npx apcore-mcp --extensions-dir ./extensions --transport sse --port 8000

CLI Arguments

| Argument | Default | Description | |---|---|---| | --extensions-dir | (required) | Path to apcore extensions directory | | --transport | stdio | stdio, streamable-http, or sse | | --host | 127.0.0.1 | Host for HTTP transports | | --port | 8000 | Port for HTTP transports (1-65535) | | --name | apcore-mcp | MCP server name | | --version | package version | MCP server version | | --log-level | INFO | DEBUG, INFO, WARNING, ERROR |

API Reference

serve(registryOrExecutor, options?)

Launch an MCP Server that exposes all apcore modules as tools.

function serve(
  registryOrExecutor: Registry | Executor,
  options?: {
    transport?: "stdio" | "streamable-http" | "sse";
    host?: string;
    port?: number;
    name?: string;
    version?: string;
  }
): Promise<void>;

toOpenaiTools(registryOrExecutor, options?)

Export apcore modules as OpenAI-compatible tool definitions.

function toOpenaiTools(
  registryOrExecutor: Registry | Executor,
  options?: {
    embedAnnotations?: boolean;
    strict?: boolean;
    tags?: string[];
    prefix?: string;
  }
): OpenAIToolDef[];

Options:

  • embedAnnotations — Append annotation metadata to tool descriptions (default: false)
  • strict — Enable OpenAI strict mode: adds additionalProperties: false, makes all properties required, wraps optional properties with nullable (default: false)
  • tags — Filter modules by tags
  • prefix — Filter modules by ID prefix

Architecture

src/
├── index.ts              # Public API: serve(), toOpenaiTools()
├── cli.ts                # CLI entry point
├── types.ts              # TypeScript interfaces
├── adapters/
│   ├── schema.ts         # JSON Schema $ref inlining
│   ├── annotations.ts    # Module annotations -> MCP hints
│   ├── errors.ts         # Error sanitization
│   └── idNormalizer.ts   # Dot-notation <-> dash-notation
├── converters/
│   └── openai.ts         # OpenAI tool definition converter
└── server/
    ├── factory.ts        # MCP Server creation & handler registration
    ├── router.ts         # Tool call execution routing
    ├── transport.ts      # Transport lifecycle (stdio/HTTP/SSE)
    └── listener.ts       # Dynamic registry event listener

Development

# Install dependencies
npm install

# Type check
npm run typecheck

# Run tests
npm test

# Run tests with coverage
npm run test:coverage

# Build
npm run build

# Watch mode
npm run dev

Testing

100 tests across 10 test suites with 96%+ line coverage:

| Module | Coverage | |---|---| | annotations.ts | 100% | | idNormalizer.ts | 100% | | factory.ts | 100% | | router.ts | 100% | | errors.ts | 98.8% | | schema.ts | 97.0% | | openai.ts | 91.7% | | listener.ts | 89.7% |

License

Apache-2.0

Contract & API

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

MissingGITHUB MCP

Endpoints

Dossier APISnapshot APIContract APITrust API

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-aipartnerup-apcore-mcp-typescript/snapshot"
curl -s "https://xpersona.co/api/v1/agents/mcp-aipartnerup-apcore-mcp-typescript/contract"
curl -s "https://xpersona.co/api/v1/agents/mcp-aipartnerup-apcore-mcp-typescript/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
Agent hubMore from this sourceMCP agents
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-aipartnerup-apcore-mcp-typescript/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-aipartnerup-apcore-mcp-typescript/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-aipartnerup-apcore-mcp-typescript/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-aipartnerup-apcore-mcp-typescript/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-aipartnerup-apcore-mcp-typescript/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-aipartnerup-apcore-mcp-typescript/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-16T23:58:01.592Z"
    }
  },
  "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": "apcore",
      "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": "model-context-protocol",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "openai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "tools",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "function-calling",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ai-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "mcp-server",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "tool-bridge",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "agent-tools",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "schema",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "json-schema",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "validation",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "router",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "transport",
      "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:apcore|supported|profile capability:mcp|supported|profile capability:model-context-protocol|supported|profile capability:openai|supported|profile capability:tools|supported|profile capability:function-calling|supported|profile capability:ai-agent|supported|profile capability:mcp-server|supported|profile capability:tool-bridge|supported|profile capability:agent-tools|supported|profile capability:schema|supported|profile capability:json-schema|supported|profile capability:validation|supported|profile capability:router|supported|profile capability:transport|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": "Aipartnerup",
    "href": "https://github.com/aipartnerup/apcore-mcp-typescript",
    "sourceUrl": "https://github.com/aipartnerup/apcore-mcp-typescript",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:11:14.247Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-aipartnerup-apcore-mcp-typescript/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-aipartnerup-apcore-mcp-typescript/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:11:14.247Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "href": "https://github.com/aipartnerup/apcore-mcp-typescript",
    "sourceUrl": "https://github.com/aipartnerup/apcore-mcp-typescript",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:11:14.247Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-aipartnerup-apcore-mcp-typescript/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-aipartnerup-apcore-mcp-typescript/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
  }
]

Sponsored

Ads related to apcore-mcp and adjacent AI workflows.