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35,702 results · Page 954 of 992

MCP Bridge by Appfactor

AI developer platforms

MCP Bridge is a self-hosted tool from Appfactor for quickly connecting existing APIs to AI agents. It can automatically generate Model Context Protocol (MCP) tool definitions from the schemas of APIs such as REST, GraphQL, SOAP, and gRPC, allowing existing APIs to be invoked by MCP-compatible clients such as Claude, GPT, and Gemini without rewriting code. It supports automatic parsing of OpenAPI 3, GraphQL introspection, WSDL, and .proto files, is deployed self-hosted via Docker containers, and keeps data within your own network. It provides capabilities such as authentication, rate limiting, response post-processing, observability, tool annotations, and semantic search. It can also use Code Mode to compress a large number of tools into 3 meta-tools, significantly reducing context window usage.

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MCP LeadFlow

AI developer platforms

MCP LeadFlow is a tool for quickly building sales lead funnels by connecting assistants such as Claude and Cursor through MCP. Users only need to describe their requirements with prompts to generate landing pages, questionnaires, routing, and API integrations, and the company claims it can be set up in 60 seconds. It supports OTP phone verification, branch routing, data analytics, API/Webhook, Meta Pixel, TrustedForm, Jornaya, and more, and does not limit the number of campaigns, leads, or impressions. The subscription price is $49.99 per month, including live chat support.

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MCP Server Hub

AI developer platforms

MCP Server Hub is a discovery and management platform for Model Context Protocol (MCP) servers, bringing together official and community-provided solutions to help developers securely connect large language models with external data sources and tools. The platform includes multiple types of MCP servers, covering cryptocurrency price prediction, data resource exposure, monitoring system integration, video data extraction, database management, API proxying, Kubernetes cluster querying, image generation, structured thinking, time and time zone conversion, browser automation, search, location services, HTTP requests, error monitoring, and SQLite database interaction, among others. Each server is accompanied by documentation, implementation examples, and practical use cases to facilitate developer evaluation and integration. Servers are built on the TypeScript SDK or Python SDK, providing multiple implementation options. The platform also encourages community contributions, forming a collaborative ecosystem and providing a standardized context access path for LLM application development.

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