GraphQL MCP Alternatives

graphite-mcp is an open-source MCP server that connects the Graphite Financial Knowledge Graph to MCP-compatible clients such as Claude Code and Codex CLI. It enables structured financial data access for AI-powered tools.

MCP Framework is a TypeScript framework designed to help developers build servers that implement the Model Context Protocol (MCP). It is intended for those seeking a streamlined, type-safe approach to creating MCP servers, with an emphasis on rapid setup and minimal configuration. The framework offers a range of features aimed at simplifying server development. It provides type-safe tools that use Zod schemas for automatic validation, JSON schema generation, and full TypeScript IntelliSense. Developers can scaffold a production-ready MCP server in seconds, and the directory-based discovery mechanism allows for zero-configuration auto-registration of files placed in designated directories such as tools/, resources/, or prompts/. MCP Framework supports multiple transports, including stdio for command-line interface tools, server-sent events (SSE) for web applications, and HTTP streaming for production APIs, all configurable with a single change. 1, JWT, and API key authentication, providing production-ready security without requiring extra dependencies. The framework is also extensible, supporting custom middleware, transports, and authentication providers. A simple and expressive API allows developers to define tools in as little as 20 lines of code. The setup process involves running a single command to scaffold a fully configured TypeScript MCP server, after which tools can be added by defining classes and schemas. The framework automatically handles the registration and integration of these components. Once built, servers can connect to any MCP-compatible client. MCP Framework is open source and released under the MIT license. It is distributed via npm and can be accessed on GitHub. The framework is positioned as a batteries-included solution for building MCP servers quickly and securely, with a focus on ease of use and adaptability to different development stacks.

greymatter-mcp is an open-source CLI tool that provides an MCP server for integrating with the ReliaQuest GreyMatter GraphQL API. It is designed for developers building security and observability integrations.

tableau-graphql-mcp is an open-source Python package that allows developers to ask Tableau lineage questions through the Metadata API using the Model Context Protocol (MCP). It provides a CLI for integrating Tableau metadata queries into data engineering workflows and supports GraphQL for flexible querying.

MCP Gateway is a no-code platform designed to convert APIs and databases into MCP tools for use by AI agents. The service allows users to import Swagger or OpenAPI specifications or connect to PostgreSQL or SQL Server databases, automatically generating a catalog of MCP tools from these sources. Users can review generated tools, curate which operations are visible to AI agents, and edit tool descriptions to clarify agent behavior. The platform enables instant testing of these tools through Gateway Chat, where users can observe how AI agents interact with published operations. Key features include the ability to keep authentication credentials, validation, rate limits, quotas, and logs on the server side, ensuring that sensitive information is not exposed in prompts or client configurations. The platform supports publishing agent-ready MCP surfaces from both APIs and databases. For APIs, users can import an OpenAPI specification, generate MCP tools, and publish selected operations. For databases, PostgreSQL or SQL Server scopes can be published as metadata-only schema tools with validated QueryPlan or SQL executors. MCP Gateway provides analytics on tool usage, including call volume, success rate, latency, and redacted logs for monitoring performance and activity. The service is accessible via a web interface, where users can manage integrations, tune tool descriptions, and test their configurations before connecting external MCP-compatible clients such as Claude, Cursor, or VS Code. The platform offers several pricing plans: a free tier for small projects with up to one integration and 1,000 tool calls per month, a Pro plan for $9 per month or $69 per year supporting up to ten integrations and higher call limits, and a Team plan for organizations with greater throughput needs, priced at $199 per month or $499 per year and supporting up to fifty integrations. MCP Gateway is positioned as a tool for creating and managing MCP-compatible tools from existing APIs and databases without the need for custom server code, targeting users who need to prepare these resources for AI agent workflows.

FastMCP is a Python-based framework designed for building applications, servers, and clients that implement the Model Context Protocol (MCP). MCP is a protocol that connects large language models (LLMs) to tools and data, enabling agents to interact with and utilize external resources. FastMCP aims to streamline the development process for MCP-compliant applications, allowing developers to move from prototype to production efficiently. The framework offers a set of features that support the creation of MCP servers, which expose tools, resources, and prompts to LLMs. Developers can declare tools using Python functions, with schema, validation, and documentation generated automatically. FastMCP manages transport negotiation, authentication, and protocol lifecycle, allowing developers to focus on their application logic. For client-side development, FastMCP provides the capability to connect to any MCP server, whether local or remote, and supports both programmatic and command-line interface (CLI) interactions. Additionally, the framework includes "Apps" that render interactive user interfaces directly within conversations, enhancing the interactivity of tools built with FastMCP. txt (the complete documentation). md to the URL. The documentation itself is accessible via an MCP server endpoint, allowing programmatic search and retrieval through FastMCP clients. The tool is actively maintained, and its documentation reflects the latest development version. The framework is developed by Prefect and is described as the standard way to build MCP applications. For enterprise deployment, Prefect also offers Horizon, an MCP gateway that adds features like branch previews, rollback, private registries, SSO, RBAC, audit logs, observability, and governance. However, FastMCP itself is focused on providing the core framework for building and running MCP-compliant servers, clients, and interactive applications in Python.

sql-query-mcp is an open-source, read-only SQL MCP server supporting PostgreSQL and MySQL. It allows developers to query databases using the MCP protocol from the command line, facilitating integration with other MCP-compatible tools.

MCP-X is a single-file gateway designed to facilitate multi-client access to tools across servers using the Model Context Protocol (MCP). It addresses the challenge of securely sharing tools between multiple clients while maintaining precise, per-tool access control. The gateway enables administrators to decide which clients can see and interact with specific tools, using configurable wildcard patterns for fine-grained permissions. The platform is implemented as a standalone Python file, allowing for straightforward deployment without the need for complex build processes or additional frameworks. Configuration is managed through a single TOML file, which defines clients, MCP servers, and access control policies. The system supports live configuration reloads, so changes to access permissions or client definitions take effect immediately without requiring a restart. MCP-X provides both a REST API and support for the standard MCP protocol. The REST API allows for dynamic client registration, server registration, and management of access control policies via HTTP endpoints. Clients authenticate using JWT tokens, which can be dynamically generated (with a one-hour expiry) or statically defined in the configuration. The gateway also exposes a /mcp endpoint for tool listing and invocation, adhering to the MCP protocol standard. This tool is suitable for environments where multiple users or systems need controlled access to distributed tools, such as development teams or organizations managing shared infrastructure. 0 license. Its development is attributed to contributors named stneng, littleround, and luke.

MCP Servers is a marketplace and discovery platform that enables users to search for and explore a variety of MCP servers, clients, command-line tools, integrations, and reusable workflows. The platform is organized into categories such as Developer Tools, AI & Agents, Cloud & Infrastructure, Memory & Knowledge, and Media & Design, making it easier to find production-ready servers and related resources. The service highlights featured servers and clients, including those supporting payments, analytics, code editing, and database management. It lists both remote and local servers, as well as official and agent-ready CLI tools for tasks like JavaScript runtime management, database querying, audio/video processing, and cloud development. MCP Servers also showcases reusable prompts and workflows, referred to as "loops," which can automate tasks such as testing, accessibility auditing, code coverage, and continuous integration monitoring. In addition to servers and CLI tools, the platform features agent skills tailored for AI agents, covering areas like brainstorming, systematic debugging, writing plans, and skill invocation. These resources are designed to facilitate the connection of AI applications to various tools, data sources, and automated workflows. The platform also provides a feed of trending and newly published servers, offering insights into what the community is installing and using. MCP Servers is aimed at developers and those building AI-powered applications who need to integrate diverse tools and automate workflows. The platform is web-based and includes a registry of available servers, clients, and integrations.

mcp-for-metabase is an open-source MCP server that provides safety-gated access to the Metabase API and dashboard authoring features. It enables developers to securely integrate Metabase analytics into their workflows while maintaining control over API usage and permissions.

unraid-mcp is an open-source MCP server and CLI/API toolkit for interacting with Unraid servers through their GraphQL API. It supports automation, monitoring, and integration with homelab setups using the Model Context Protocol.

AST-based Python/Flask/FastAPI codebase indexer for AI agents