Best MCP Servers for GraphQL (August 2026)

Nerq found 464 MCP servers for graphql, ranked below by GitHub stars and weighted compliance score across 52 global AI jurisdictions. The top-ranked MCP server for graphql is DBHub (Universal Database Gateway) with 2,448 stars and a trust score of 74/100. MCP servers for GraphQL APIs: queries, mutations, schema introspection, and API integration.

Last updated: August 01, 2026 | 464 servers in this category | Data from Nerq

Top 20 MCP Servers for GraphQL

#	Name	Stars	Trust	Author	License	Description
1	DBHub (Universal Database Gateway)	2,448	B 74	https://github.com/bytebase/dbhub	N/A	Provides a universal database gateway for connecting to PostgreSQL, MySQL, SQLite, and DuckDB, enabl
2	ConnorBritain/mssql-mcp-server	7	B 73	ConnorBritain	MIT	Enterprise MCP server for SQL Server with 20 tools for schema discovery, data operations, and admini
3	mastra-apollo-mcp	0	B 72	Gnilherk	MIT	A small Node.js server for integrating with Apollo Graphql Servers using Mastra AI and Apollo MCP.
4	Shopify	227	B 72	https://github.com/amir-bengherbi/shopify-mcp-server	N/A	Bridges to the Shopify GraphQL Admin API, enabling product searches, customer information retrieval,
5	PostgreSQL	14	B 72	https://github.com/a21071/mcp-postgres	N/A	Provides a bridge to PostgreSQL databases for executing SQL queries, managing tables, and inspecting
6	Braintree	261	B 70	https://github.com/codespar/mcp-dev-latam/tree/HEAD/packages/payments/braintree	N/A	MCP server for Braintree (PayPal) — global card processing via GraphQL for charges, refunds, and vau
7	SQL Server	19	B 70	https://github.com/aaronontheweb/mssql-mcp	N/A	Integrates with SQL Server to enable database schema exploration, query execution, and stored proced
8	io.github.getanyapi-com/anyapi	0	B- 70	https://github.com/getanyapi-com/skills	N/A	Hundreds of scraping & data APIs through one key. USD pay-per-request, normalized schemas, failover.
9	elevanaltd/octave-mcp	32	C 70	Unknown	N/A	OCTAVE protocol - structured AI communication with 3-20x token reduction. MCP server with lenient-to
10	promptql-mcp	16	C 69	hasura	MIT	MCP server enabling AI assistants to query enterprise data via Hasura's PromptQL.
11	io.github.AutomateLab-tech/ai-seo	0	B- 69	https://github.com/AutomateLab-tech/ai-seo	N/A	MCP server for AI-SEO auditing: schema, robots.txt, llms.txt, citation scoring, and AEO/GEO rewrites
12	io.github.nexus-mcp-infra/npm-package-ws-has-24156	0	B- 69	https://github.com/nexus-mcp-infra/npm-package-ws-has-241560546-weekly-downloads-but-sdk	N/A	Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di
13	Grafbase	1,222	B- 68	https://github.com/grafbase/grafbase	N/A	Command-line tool for managing GraphQL APIs with features for local development, federation, and dep
14	samchon/openapi	122	C 68	Unknown	N/A	OpenAPI definitions, converters and LLM function calling schema composer.
15	Elysia	8	B- 68	https://github.com/8monkey-ai/elysia-mcp	N/A	Turn existing Elysia framework routes into MCP tools automatically, with no schema duplication or ha
16	AI SEO	2	B- 68	https://github.com/automatelab-tech/ai-seo-mcp	N/A	Audit, score, and rewrite web pages for AI citation eligibility: schema, robots.txt, llms.txt, and A
17	MEOK Test	0	B- 68	https://github.com/csoai-org/meok-mcp-test-mcp	N/A	Golden-file, schema-drift, and tool-failure tests for MCP servers, with pytest templates and HMAC-si
18	MCPFold	0	B- 68	https://github.com/dj-pearson/mcpfold	N/A	Curates and syncs one canonical MCP configuration across every AI client to cut tool-schema token ov
19	co.axiom/mcp	0	B- 68	https://github.com/axiomhq/mcp	N/A	List datasets, schemas, run APL queries, and use prompts for exploration, anomalies, and monitoring.
20	OrionBelt Analytics	41	B- 68	https://github.com/ralfbecher/orionbelt-analytics	N/A	Ontology-based database schema analysis and RDF/OWL ontology generation.

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About MCP Servers for GraphQL

MCP servers for GraphQL APIs: queries, mutations, schema introspection, and API integration. Nerq tracks 464 MCP servers in the graphql category, each assessed against 52 global AI regulations including the EU AI Act, US state AI laws (California SB53, Colorado SB205), UK AI Bill, and more. Compliance scores are weighted by jurisdiction penalty severity — jurisdictions with higher fines (like the EU AI Act at up to €35M) have more impact on the score than voluntary frameworks.

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