"Finding people on GitHub" matching MCP servers:

Enables governed interaction with synthetic people data through MCP tools, providing per-caller scoped access, semantic-layer metrics, and read-only SQL with authorization checks.

Enables finding and verifying work emails for contacts through a waterfall of provider keys, with per-provider cost attribution and verification after each finder.

Enables MCP clients to search and analyze monthly Hacker News "Who is hiring?" threads by parsing free-form job comments into structured fields such as company, role, location, work mode, salary, visa, and technologies, with tools for listing threads, searching jobs, retrieving individual posts, and viewing hiring trends.

Enables MCP clients to analyze contact exports, identify duplicate people with evidence-based matching, merge them into a cleaned CSV, and report every conflicting value.

Enables validating CSV structure, checking simple schemas, converting between CSV and JSON, sampling rows, and finding duplicate keys on local files. All processing stays local, so no user data is ever uploaded.

An MCP server that tracks newly created liquidity pools on Uniswap across nine blockchain networks.

Enables restaurant management through natural language, allowing import of Toast CSV data, labor/sales analysis, tip pool calculations, task management, and note-taking.

Local-first Taiwan market evidence workbench for AI agents with persistent Watchlists, governed MCP, auditable evidence, and explicit execute-once retrieval. GitHub Repository URL

MCP Server for executing XPath queries on XML content

Provides Material Requirements Planning (MRP) tools for calculating delivery schedules, determining order needs, and performing MRP period calculations based on inventory levels, forecasts, and order constraints.

A Model Context Protocol server implementation that enables AI assistants to interact with Apollo.io data, performing operations like people/organization enrichment, searching, and retrieving job postings through natural language commands.

Remote MCP server for querying financial index data, running backtests, and building/deploying systematic investment strategies from any MCP-capable client.

Enables management of GitHub workflows, issue templates, and repository configuration for the Frontal MCP Server project through CI/CD pipelines and security automation.

Enables authorized DatumLabMHQ GitHub members to access the Datum data platform through MCP tools such as whoami, list_products, list_questions, ask, query, and health, without holding API keys.

A production-ready MCP server that provides comprehensive dbt project quality assessment for any GitHub repository, enabling AI agents to analyze dbt models, check metadata coverage, and map data lineage.

Enables AI assistants to read, analyze, edit, and create Alteryx workflows, including summarizing workflows, finding tools, editing configurations, updating SQL, managing connections, and building new workflows programmatically.

Enables LLMs to perform analytical SQL queries on PostgreSQL/MySQL databases via DuckDB, with tools for querying, aggregation, and materialized views.

MCP server for integrating with Bika.ai platform, enabling AI assistants to perform CRUD operations on databases, manage attachments, and utilize automation and webhooks.

A database operation server based on the MCP protocol, providing database connection, querying, schema exploration, data analysis, and SQL generation tools.

An MCP server exposing 21 tools so Claude, ChatGPT and Cursor can search 15.5M US businesses and people, enrich rows through waterfalls, manage People and Companies databases, run AI agents and workflows, and watch signals. It runs on the user's own Cloudflare account with provider keys they control.

Enables SQL queries and schema exploration on Snowflake databases via the Model Context Protocol.

Enables natural-language interaction with a Databricks Lakehouse, including running SQL on warehouses, tracking and canceling long-running queries, and exploring Unity Catalog metadata via the workspace REST API.

Enables AI agents and MCP clients to heuristically parse multi-column document dumps, aligned spacing, and CSV/TSV input, converting them into clean GitHub Flavored Markdown tables and typed JSON. Runs fully offline on the Python standard library with zero external dependencies, returning deterministic results without LLM round-trips.

Enables AI agents and MCP clients to convert ASCII/OCR text dumps, aligned spacing, and CSV/TSV data into clean GitHub Flavored Markdown tables and typed JSON deterministically.

Enables SQL queries on WeRead (微信读书) book data by syncing it into DuckDB, with an MCP server for agent-based analysis and cross-source joins.

Enables MCP-compatible agents to run governed, read-only analytics queries against Postgres using predefined metrics and dimensions, with safety checks and provenance on every result.

Enables users to submit, log, fetch, and analyze advocacy and community-program activities across Google GDE, Microsoft MVP, YouTube, Dev.to, Hashnode, GitHub, AWS, and other programs, with OAuth-secured and encrypted credential storage.

Syncs Google Search Console performance data into a local ClickHouse database and exposes prepared SEO analysis tools to AI agents. Enables diagnosing traffic drops, finding striking-distance keywords, detecting cannibalization, auditing indexing, and generating weekly SEO reports through natural language.

A unified backend MCP server that aggregates and filters data from external services like Zaim, GitHub, Google, and Notion, providing cross-cutting views via MCP and REST API without heavy AI inference.

Enables executing SQL queries, listing databases, and listing tables on a ClickHouse cluster through natural language.