cluefinch/mcp-server

Overview

A Python-based Model Context Protocol (MCP) server that supplies deep research infrastructure for AI agents. It exposes research capabilities through the MCP standard, allowing agents to invoke them as tools. The project is in an early stage with no public stars.

Best for

Best for
Developers building AI agents that need research tooling via MCP

Use cases

• Add research tools to an MCP-compatible agent
• Provide agents with structured deep research workflows
• Extend agent toolchains with Python-based research services

How to use

Install

uvx --from 'pyright==1.1.414' pyright --pythonpath .venv/bin/python mcp_search scripts

Tools exposed

• MCP_SEARCH_SEARXNG_URL
• MCP_SEARCH_ENGINES
• MCP_SEARCH_MAX_RESULTS
• MCP_SEARCH_MAX_SOURCES
• MCP_SEARCH_MAX_QUERIES
• MCP_SEARCH_MAX_FETCH_CHARS
• MCP_SEARCH_MAX_TEXT_CHARS
• MCP_SEARCH_FETCH_CONCURRENCY
• MCP_SEARCH_FETCH_TTL
• MCP_SEARCH_SEARCH_TTL

Tested with

Claude Code, Cursor, Continue, VS Code

Notes

A Python-based Model Context Protocol (MCP) server that supplies deep research infrastructure for AI agents. It exposes research capabilities through the MCP standard, allowing agents to invoke them as tools. The project is in an early stage with no public stars.

0 stars on GitHub. Last updated 2026-10-07. Licensed Apache-2.0.

Use cases

• Add research tools to an MCP-compatible agent
• Provide agents with structured deep research workflows
• Extend agent toolchains with Python-based research services

Pros

• Uses the standard MCP protocol for interoperability
• Python implementation fits common agent stacks
• Focused on deep research use cases

Cons

• No community traction yet (0 stars)
• Limited public documentation or examples
• Scope and feature set not yet established

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.