Terraform Rag

17 utility APIs — QR codes, passwords, UUIDs, crypto prices, FX rates, DNS, RSS, holidays, OG metadata, hashing, base64, lorem ipsum, JSON tools, colors, email, IP geolocation, timestamps Tags: utility,tools,api,production

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 Instead of AI guessing or using outdated public information, Truee lets businesses control and update their own structured business data.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 a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

# 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)

AI-native task manager with native MCP server. Let Claude or any MCP client read, create, update, complete, and reschedule your tasks directly — no copy-pasting. Includes semantic search, daily planning, habit tracking, and weekly reviews. Free tier available.

MCP server for freshjots.com

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).

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Local MCP server for Hearts of Iron IV modding agents

Mercury is a pay-per-call MCP server that lets AI agents discover and call financial data tools using the x402 HTTP payment protocol. 18 tools covering crypto prices, DeFi liquidity, NFT data, on-chain analytics, and more. tools/list is free — tools/call is billed per call using your Mercury API key. Connect by URL: https://network.mercury-hq.com/mcp

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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.

Local-first, lightweight MCP server for per-agent key management.

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.

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

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

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

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

Browser automation and web scraping

GitLab API, enabling project management

Create a QR code for Ukrainian domestic payments at a point of sale or online and accept cashless payments to IBAN

One API for Search, Crawling, and Sitemaps

Onchain AI-agent reputation oracle on Base. Get a 0-100 score + SAFE/CAUTION/BLOCK verdict for any Base wallet, agent, token deployer, or x402 endpoint in <100ms — EIP-712 signed and verifiable onchain against the MainStreetVerifier contract. ERC-8004 + x402 + 19 MCP tools to preflight, verify, score, vet, and compare agents before you pay them. Free reads (100/day/IP); pay-per-call audits over x402 (USDC on Base).

The Meteomatics MCP (Model Context Protocol) server allows AI agents to securely access Meteomatics weather data tools. MCP is an open standard that lets AI applications connect to external tools and data sources. With the Meteomatics MCP, agents can request weather data directly from the Meteomatics API through a secure /mcp endpoint. The MCP server manages authentication using OAuth (client registration, authorization code + PKCE, and refresh tokens). Once connected, the AI agent can access data, models, parameters, time ranges that are available to your Meteomatics API account.

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.