MCP-Human: Human Assistance for AI Assistants

Web and local search using Brave's Search API

The first MCP server for NetLogo, the most widely used agent-based modeling platform. Lets AI assistants create models with real interface widgets, run simulations and BehaviorSpace parameter sweeps, export world views as PNG, and safely run peer-reviewed models from the CoMSES Net library.

Local MCP server for Hearts of Iron IV modding agents

AI Governance Infrastructure for Microsoft 365. 24 MCP tools with policy enforcement, Need-to-Know compliance filter, revision-safe audit trail, and per-resource scope control. Deployed in your own Azure tenant — your data never leaves. DSGVO-first, EU AI Act ready.

Huckleberry MCP server for Claude, Cursor, and other AI assistants. Query and log baby sleep, feeds, diapers, growth, pumping, and solids.

Repository management, file operations, and GitHub API integration

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

Crawlora's hosted MCP server exposes 319 structured web-data tools — search, maps, commerce, social, finance, travel, app stores, and reviews — each returning clean JSON instead of HTML to parse. Streamable HTTP transport with API-key Bearer auth. No proxies, browsers, or parsers to maintain. Free 2,000 credits/month, no card.

Postal mail API for AI agents. mailbox.bot lets agents send outbound physical mail, including letters, certified mail, postcards, and batch mailings, with cost previews, approval controls, tracking, proof artifacts, and signed webhooks. It also supports inbound mail context from forwarded scans, phone-captured postal mail, PDFs, photos, and documents, so agents can understand physical-mail context and generate replies. Get a new receiving mailbox number for your agent with a real street-address opening soon through the mailbox.bot waitlist.

Turn a written schedule into a live calendar link people subscribe to in Apple, Google, Outlook. Calfeed's create_calendar tool takes plain text (shifts, practices, classes, a season, an itinerary) and publishes a hosted calendar that updates for every subscriber. Mint an access token at calfeed.ai/profile.

Validate a business idea against 6 live demand signals: Demand, Pain, Competition, Money, Funding, Urgency. Drawn from a 55k+ idea corpus across 200+ sources (a16z, YC, Product Hunt, Forbes, App Store), hundreds scored each week and refreshed daily, with named competitors, metrics, and real user complaints cited to source URLs. Validate your own idea too. Works in Claude Code, Cursor, and Codex.

bugAgent turns your AI assistant into a full QA engineer. Create and triage bug reports with AI root-cause analysis, manage test cases and runs, write and execute Playwright automations, run security and performance scans, and track team quality metrics — all from Claude, Cursor, or any MCP client. 109 tools covering the full QA lifecycle. Requires a free bugAgent account at app.bugagent.com.

Race nutrition planning tools for endurance athletes. Get personalised carb, sodium and fluid targets for any race, browse Lecka's real-food product catalog, and calculate exactly how many gels you need — by distance, conditions, weight, and effort level.

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

One API for Search, Crawling, and Sitemaps

Web content fetching and conversion for efficient LLM usage

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

Minimal project management for teams and AI agents. Manage tasks, projects, and workspaces from Claude, Cursor, Windsurf, and any MCP-compatible AI assistant.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

EQVPS is crypto-native, no-KYC VPS hosting that an AI agent can rent and operate end-to-end over MCP — no human in the loop. The agent registers, gets a Bearer token, picks a plan, pays in USDC/USDT on Base/Ethereum or USDT on Tron from a prepaid balance, and the VPS provisions in ~60s. 16 tools cover the full lifecycle: discover plans, register/login, balance + top-up, order, pay invoice, list/inspect servers, power, set hostname, reset password, reinstall OS, metrics, cancel. The only VPS provider with MCP provisioning — an agent orders AND pays for its own server, no KYC, no human.

# govql-mcp-server An MCP (Model Context Protocol) server for [GovQL](https://govql.us) — gives AI clients like Claude Desktop, Claude Code, and Cursor direct access to the US Congressional GraphQL API at [api.govql.us/graphql](https://api.govql.us/graphql) without bespoke HTTP wiring. For the design rationale (why FastMCP-Python, the passthrough+curated philosophy, roadmap through v0.4), see [design.md](https://github.com/govql/govql/blob/main/mcp-server/docs/design.md). ## What you can do with it Ask an agent questions like: - *"How did Vermont's two senators vote on the most recent nomination?"* - *"Which legislators in the 118th Congress switched parties during their service?"* - *"Compare Senator Sanders' voting record to Senator Murkowski's on cloture votes in the most recent Congress."* The agent picks the right tool, writes the GraphQL query against the live schema, and parses the response — no manual API wrangling. ## Install The server runs as a per-client subprocess over stdio. Pick your client: ### Claude Desktop Edit `claude_desktop_config.json` (Settings → Developer → Edit Config): ```json { "mcpServers": { "govql": { "command": "uvx", "args": ["govql-mcp-server"] } } } ``` Restart Claude Desktop. The `govql` tools appear in the tools panel. ### Claude Code Add to `.mcp.json` in your project (or `~/.mcp.json` for global): ```json { "mcpServers": { "govql": { "command": "uvx", "args": ["govql-mcp-server"] } } } ``` ### Cursor Settings → MCP → Add Server. Use the same `command` / `args` as above. ### Other clients Any MCP-compatible client that supports stdio servers will work. The command is `uvx govql-mcp-server` with no required arguments. ## Tools | Tool | Purpose | |---|---| | `execute_graphql` | Run any GraphQL query against the GovQL endpoint. Returns the result plus an `last_ingest` timestamp so the agent can reason about data freshness. | | `list_types` | Returns the names and kinds of every type in the GovQL schema. Optional `kind` filter (`"OBJECT"`, `"INPUT_OBJECT"`, `"ENUM"`, etc.) to narrow further. Start here when you don't know what's queryable. | | `describe_type` | Returns one type's full details — fields, arg signatures, input fields, enum values. Call after `list_types` to learn the shape of a specific type before writing a query. | ## Configuration All env vars are optional — the package is zero-config for end users. | Env var | Default | Purpose | |---|---|---| | `GOVQL_ENDPOINT` | `https://api.govql.us/graphql` | Endpoint to query. Override to point at a local dev stack. | | `GOVQL_TIMEOUT_MS` | `30000` | Per-request HTTP timeout. | | `LOG_LEVEL` | `INFO` | Logging level. Logs go to stderr only (stdout is reserved for the MCP transport). | ## Limits (enforced by the upstream API) - Max query depth: 10 - Max query complexity: ~10 billion points (`first: N` multiplies child cost by N — keep page sizes reasonable on deeply nested queries) - Rate limit: 100 requests / 60 s per source IP A depth or complexity violation surfaces as a GraphQL `errors` entry in the tool response so the agent can adjust and retry. ## Data freshness Every `execute_graphql` response includes a `last_ingest` ISO timestamp. Vote data refreshes hourly; legislator data refreshes daily. ## Status Version 0.1.0 ships three foundational tools: a GraphQL passthrough (`execute_graphql`) and two narrow schema-discovery tools (`list_types`, `describe_type`). Curated higher-level tools (`find_legislator`, `get_voting_record`, `compare_voters`, etc.) are planned for subsequent releases — see [design.md](https://github.com/govql/govql/blob/main/mcp-server/docs/design.md) for the roadmap. ## Links - [GovQL project site](https://govql.us) - [GraphQL API](https://api.govql.us/graphql) - [Source / issues](https://github.com/govql/govql)

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

MCP server for the Savvly Longevity Benefit Fund: product info, Savvly-vs-alternative comparisons, eligibility checks, an audience-tagged Q&A library, and retirement / lump-sum / monthly projections (with inline MCP Apps chart widgets).

MCP server for freshjots.com