"Spaceflight API - Space Launch and Mission Data" matching MCP servers:

Enables MCP clients to retrieve live worldwide launch schedules with countdowns, Starship status, satellite and ISS pass predictions for any location, and visible Starlink train forecasts, with cited source URLs and fetch timestamps.

Provides access to global rocket launch data, including upcoming and historical launches, launch details, space agencies, astronauts, events, and expeditions, enabling natural language queries about space activities.

Gives Claude live access to your Observe tenant, enabling natural language queries about errors, logs, and metrics without writing OPAL pipelines.

Enables checking a public website before launch and returning a scored pass, warn, or fail report with a fix for every problem found.

Enables AI tools like Claude Code to deploy projects to multiple servers via SSH with zero installation on target machines. Supports server onboarding, project management, and one-click deployment through MCP tools.

Scores MCP servers for launch-readiness across trust, tool UX, docs, observability, marketplace fit, and partner narrative, and generates partner briefs and launch path comparisons.

Enables checking and validating disk space usage via a single tool, reporting total, used, and available space with optional free space thresholds.

Enables AI assistants to securely access Twake Space team spaces, members, feeds, unread counts, votes, sign-offs, and meetings, and to perform actions as the user only after explicit prior approval.

MCP server that lets LLMs play a terminal Space Invaders game with the SUPERHOT rule: time only moves when the agent moves. Exposes tools to start a game, inspect the board state, and act by holding left/right/fire for N frames.

Enables Claude Code sessions to escalate decisions to a local mission-control hub through its request_decision tool, returning the operator's selected choice or typed answer straight back to the waiting tool call.

Enables MCP clients to search Amazon products, retrieve product details and reviews, and access best-seller rankings across 23 marketplaces through four tools.

Enables AI agents to resolve stored API tokens and credentials from a locally encrypted vault through an inject_secret tool, writing them to env-file handles the agent consumes outside the conversation so secret values never appear in chat transcripts. Provides listing and metadata access while requiring a human unlock gate before any decryption.

Enables users to describe a product and receive a ranked, live-checked list of directories, launch sites, newsletters, communities, and other submission destinations, with fit scores, pricing, link attributes, and popularity ranks for planning launches.

Free DEX aggregator API that returns executable swap calldata across 46 EVM chains. No API key required. Single GET request returns ready-to-sign transactions for any token pair.

Enables LLM clients such as Cursor and Claude to discover and use generated REST services through MCP tools for create, update, and delete actions and MCP resources for list and get-by-id context. Services generated in one command are exposed simultaneously as REST endpoints and MCP tools and resources.

Enables AI assistants to interact with generated REST APIs by discovering and using CRUD tools and read-only data resources.

Enables AI assistants to discover and invoke CRUD tools and read-only resources over the Model Context Protocol for generated API services.

Enables AI assistants to interact directly with generated REST APIs by exposing CRUD operations as MCP tools and read-only data as resources.

Connects AI assistants with official Census Bureau statistics and data sources, enabling dataset discovery, geography resolution, aggregate data retrieval, and population data prompts.

Exposes generated CRUD services to LLM clients over the Model Context Protocol, providing tools for create, update, and delete actions plus read-only resources for listing and fetching records by id. It lets assistants like Claude, ChatGPT, and Cursor discover and manipulate the same data served by the project's REST endpoints without any extra glue code.

Exposes every generated CRUD service to LLM clients such as Claude, ChatGPT, or Cursor through discoverable MCP tools for create, update, and list actions plus read-only resources, so models can query and manipulate data without raw HTTP calls. It runs alongside the same codebase's REST endpoints, letting clients and AI share one data layer.

Enables LLMs to discover and invoke generated CRUD operations as MCP tools and read data through MCP resources, alongside standard REST endpoints, using one codebase.

Enables LLMs to discover and invoke generated CRUD tools and resources, allowing AI assistants to interact with the same data exposed by the REST API. Supports MCP clients such as Cursor and Claude over HTTP.

Enables LLMs to discover and invoke generated API actions as MCP tools and read context through MCP resources for list and get-by-id operations. It provides HTTP-based MCP access for clients such as Cursor and Claude without extra glue code.

Enables LLMs to interact directly with generated REST APIs by exposing CRUD actions as MCP tools and read-only data as MCP resources.

Connects AI assistants with official Census Bureau statistics, enabling dataset discovery, geography FIPS resolution, and aggregate data retrieval from the Census Data API and a local Postgres database.

Enables LLMs and MCP clients to discover and use generated CRUD services through MCP tools and resources, exposing actions like create, update, delete, and read-only list/get access alongside REST endpoints.

Enables AI assistants to discover and invoke generated CRUD tools and read-only resources, letting them interact directly with REST-backed services built on Express, Mongoose, or Sequelize.

Enables LLMs and AI assistants to discover and use tools and resources for CRUD operations on generated services, providing direct interaction with the same data exposed by REST endpoints.

Connects AI assistants with official Census Bureau statistics and data from the Census Data API and other official sources, enabling users to list datasets, fetch geography and aggregate data, resolve FIPS codes, and retrieve population statistics through natural language.

Enables LLMs to discover and invoke CRUD tools and read-only resources for generated services, allowing direct interaction with the same data exposed by the REST API.

Enables LLMs to interact with generated REST API services by exposing MCP tools and resources for CRUD operations, listing, and retrieval. It lets AI clients discover and call create, update, delete, list, and get-by-id actions against the same data available over REST.

Provides real-time NOAA space weather data (solar flares, Kp index, solar wind) and analyzes HF radio propagation conditions for amateur radio operators to determine optimal frequency bands.

Exposes every generated Express service to LLM clients over HTTP as MCP tools (create, update, delete actions) and resources (list and get-by-id context), so AI assistants can discover and manipulate application data without raw HTTP calls. This lets teams run a single codebase that serves both traditional REST clients and AI agents such as Cursor or Claude.

Enables LLMs to interact with generated CRUD services through MCP tools and resources, so they can create, update, list, and fetch records via a standard protocol. It also provides REST API access from the same codebase for traditional clients.

Enables AI assistants to query official Census Bureau statistics and metadata, including dataset listings, geography levels, aggregate data, and FIPS code resolution. It also provides prompts for retrieving population data for states, counties, cities, and other geographic areas.

Connects AI assistants with official U.S. Census Bureau statistics, enabling them to discover available datasets, resolve place names to FIPS geography codes, and retrieve aggregate demographic and economic data through natural language. It draws on both the live Census Data API and a locally seeded database for faster search.

Enables LLM clients such as Claude, ChatGPT, and Cursor to discover and act on generated CRUD services over HTTP through tools like create, update, list, and delete, plus read-only resources for listing and fetching records by ID, with no extra glue code.

Enables AI assistants to query official Census Bureau datasets and statistics, including listing datasets, fetching geographies, retrieving aggregate data, and resolving geography FIPS codes via the Census Data API.

Enables LLMs to discover and invoke generated API operations as MCP tools and resources, supporting create, update, list, and get-by-id actions over the same data exposed by the REST API.