projectbrain-mcp

projectbrain-mcp

ProjectBrain MCP is a Model Context Protocol (MCP) server for project planning and execution workflows. It exposes tools for tasks, decisions, facts, milestones, comments, and team messaging through a Streamable HTTP endpoint.

Category
Visit Server

README

ProjectBrain MCP

ProjectBrain MCP is a Model Context Protocol (MCP) server for project planning and execution workflows. It exposes tools for tasks, decisions, facts, milestones, comments, and team messaging through a Streamable HTTP endpoint.

What it does

  • Serves MCP tools over HTTPS at https://mcp.projectbrain.tools
  • Allows unauthenticated MCP discovery requests for initialize, notifications/initialized, ping, tools/list, resources/list, resources/templates/list, and prompts/list
  • Authenticates bearer tokens (JWT or API key) for all tool execution and data access
  • Provides MCP OAuth metadata endpoints
  • Executes tool actions against the ProjectBrain API

Service endpoints

  • GET /health
  • GET /.well-known/oauth-protected-resource
  • GET /.well-known/oauth-authorization-server
  • POST /

Configuration

Set these environment variables:

  • SERVER_URL (default: http://localhost:8000)
    Base URL of the ProjectBrain API.
  • MCP_SERVER_URL (default: same as SERVER_URL)
    Public base URL used in OAuth resource metadata.
  • JWT_SECRET_KEY
    Secret used to validate JWT bearer tokens.
  • JWT_ALGORITHM (default: HS256)
  • CORS_ORIGINS (default: ["http://localhost:5173"])
    Accepts either a JSON array or a comma-separated list.
  • MCP_REQUEST_TIMEOUT_SECONDS (default: 30)
  • MCP_UNAUTH_DISCOVERY_METHOD_SCAN_BYTES (default: 8192)
    Max unauthenticated request bytes scanned to detect JSON-RPC method in lightweight middleware parsing.
  • SENTRY_DSN
    Sentry DSN for MCP service error/performance reporting.
  • SENTRY_TRACES_SAMPLE_RATE (default: 0.2)
    Trace sample rate passed to sentry_sdk.init.
  • SENTRY_SEND_DEFAULT_PII (default: false)
    Set to true to include richer MCP request/response context with MCPIntegration (review data collection implications before enabling).
  • SENTRY_ENVIRONMENT (optional)
    Sentry environment tag (for example: production, staging).

Local development

From repository root:

  1. Install backend dependencies:
    • cd api && uv sync --locked
  2. Start the MCP server:
    • PYTHONPATH=mcp api/.venv/bin/uvicorn api_adapter:app --app-dir mcp --host 0.0.0.0 --port 8001

Directory structure

  • api_adapter.py — FastAPI app entrypoint and auth middleware
  • server.py — MCP tool definitions and HTTP client adapter
  • runtime.py — runtime config and request-scoped auth context

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured