Xircuits MCP Component Library

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

GraphPilot gives coding agents persistent structural knowledge of a codebase. It parses TypeScript/JavaScript with tree-sitter into a graph of symbols and call edges, then exposes that graph over MCP so the agent can recall definitions, find callers, and trace change impact without re-reading files every conversation. Local-first: no network, no telemetry, no code ever leaves your machine. Four tools — gp_index, gp_recall, gp_callers, gp_impact.

143 local tools for Claude, Cursor & ChatGPT — Mail, iMessage, Microsoft Teams, Slack, WhatsApp, Calendar, OneDrive, Outlook, OmniFocus, Notes, Finder and Office docs. 100% local, no API keys. Reaches what cloud connectors can't. Mac + Windows.

Real-time Solana token cabal detection API. Traces top holder funding sources via Helius RPC to detect coordinated wallets, insider snipers and bubble-map clusters. Returns a 0–100 cabal confidence score. $0.05 USDC per query on Solana mainnet.

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.

Comprehensive Singapore government data MCP server — typed tools for SG datasets (data.gov.sg and more) for any AI agent.

51 AI-powered Intelligence verticals - finance, immigration, legal, health, crypto, real estate, careers, travel, compliance and more. x402-native, pay-per-query via USDC on Base. No API keys, no subscriptions.

Truee is a platform that helps businesses create a trusted, AI-ready business profile so AI systems, search engines, agents, and customers can understand exactly who they are, what they do, where they operate, and how to contact them. Instead of AI guessing or using outdated public information, Truee lets businesses control and update their own structured business data. A simple way to say it: Truee helps businesses tell AI the truth about them. Or: Truee is a trusted business data layer for the AI-first internet. It helps businesses with: Accurate business information AI discoverability Structured business profiles Trust and verification Updates for services, location, contact details, announcements, and offers Better visibility when AI agents are searching for businesses to recommend For customers and AI systems, Truee becomes a reliable source of business information. For businesses, it means: One Truee profile, thousands of AI agents can understand and find you when your business is needed.

Create, manage, and clean up Flagsmith feature flags directly from your AI tool. Flagsmith is an open source feature flag and remote config platform you can self-host or run in the cloud, and the MCP server lets you control flags, environments, and segments through natural language in any MCP-compatible editor.

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.

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.

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

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.

MCP server that connects AI assistants to Siemens TIA Portal via the Openness API. AI-assisted PLC programming, project management, hardware configuration, cross-reference analysis, and deployment. 16 tools, 166 actions.

# 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)

MCP server for StillOnline — uptime monitoring and status pages from Cursor, Claude Code, and other MCP clients. Wraps REST API v1: projects, HTTP/SSL checks, incidents. Requires Pro/Ultimate API key.

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

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.

MCP server for freshjots.com

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.

Web content fetching and conversion for efficient LLM usage

Kage is shared, code-grounded memory for developers and their coding agents. Capture a learning once — a bug cause, a decision, a gotcha — and the whole team plus every agent recalls it next time it's relevant. Memory is grounded in your actual code and stored as git-tracked JSON reviewed in PRs, not a personal vector blob that drifts: citations are validated on write, and stale memory (whose code was deleted or refactored) is withheld from recall and flagged for you. Works with Claude Code, Codex, Cursor, Windsurf, and any MCP client. No vector DB, API key, or service to run. Try it in 30s: npx -y @kage-core/kage-graph-mcp demo