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Apollo Mcp Server

Organization
apollographql
apollo-mcp-server

Guide for using Apollo MCP Server to connect AI agents with GraphQL APIs. Use this skill when: (1) setting up or configuring Apollo MCP Server, (2) defining MCP tools from GraphQL operations, (3) using introspection tools (introspect, search, validate, execute), (4) troubleshooting MCP server connectivity or tool execution issues.

Overview

Publisherapollographql
Repositoryskills
Skill nameapollo-mcp-server
Stars
112
Forks
12
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by apollographql on GitHub. Read the source before you install it.

Installation

Install the Apollo Mcp Server AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/apollographql/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/apollo-mcp-server .claude/skills/apollo-mcp-server
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Apollo Mcp Server in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Apollo Mcp Server on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Apollo Mcp Server is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Apollo MCP Server Guide

Apollo MCP Server exposes GraphQL operations as MCP tools, enabling AI agents to interact with GraphQL APIs through the Model Context Protocol.

Quick Start

Step 1: Install

bash
# Linux / MacOS
curl -sSL https://mcp.apollo.dev/download/nix/latest | sh

# Windows
iwr 'https://mcp.apollo.dev/download/win/latest' | iex

Step 2: Configure

Create config.yaml in your project root:

yaml
# config.yaml
transport:
  type: streamable_http
schema:
  source: local
  path: ./schema.graphql
operations:
  source: local
  paths:
    - ./operations/
introspection:
  introspect:
    enabled: true
  search:
    enabled: true
  validate:
    enabled: true
  execute:
    enabled: true

Start the server:

bash
apollo-mcp-server ./config.yaml

The MCP endpoint is available at http://127.0.0.1:8000/mcp (streamable_http defaults: address 127.0.0.1, port 8000). The GraphQL endpoint defaults to http://localhost:4000/ — override with the endpoint key if your API runs elsewhere.

Step 3: Connect

Add to your MCP client configuration:

Streamable HTTP (recommended):

Claude Desktop (claude_desktop_config.json):

json
{
  "mcpServers": {
    "graphql-api": {
      "command": "npx",
      "args": ["mcp-remote", "http://127.0.0.1:8000/mcp"]
    }
  }
}

Claude Code:

bash
claude mcp add graphql-api -- npx mcp-remote http://127.0.0.1:8000/mcp

Stdio (client launches the server directly):

Claude Desktop (claude_desktop_config.json) or Claude Code (.mcp.json):

json
{
  "mcpServers": {
    "graphql-api": {
      "command": "./apollo-mcp-server",
      "args": ["./config.yaml"]
    }
  }
}

Built-in Tools

Apollo MCP Server provides four introspection tools:

ToolPurposeWhen to Use
introspectExplore schema types in detailNeed type definitions, fields, relationships
searchFind types in schemaLooking for specific types or fields
validateCheck operation validityBefore executing operations
executeRun ad-hoc GraphQL operationsTesting or one-off queries

Defining Custom Tools

MCP tools are created from GraphQL operations. Three methods:

1. Operation Files (Recommended)

yaml
operations:
  source: local
  paths:
    - ./operations/

Each file must contain exactly one operation. Each named operation becomes an MCP tool.

graphql
# operations/GetUser.graphql
query GetUser($id: ID!) {
  user(id: $id) {
    id
    name
    email
  }
}
graphql
# operations/CreateUser.graphql
mutation CreateUser($input: CreateUserInput!) {
  createUser(input: $input) {
    id
    name
  }
}

2. Operation Collections

yaml
operations:
  source: collection
  id: your-collection-id

Use GraphOS Studio to manage operations collaboratively.

3. Persisted Queries

yaml
operations:
  source: manifest
  path: ./persisted-query-manifest.json

For production environments with pre-approved operations.

Reference Files

Detailed documentation for specific topics:

Key Rules

Security

  • Never expose sensitive operations without authentication
  • Use headers configuration for API keys and tokens
  • Disable introspection tools in production (they are disabled by default)
  • Set overrides.mutation_mode: explicit to require confirmation for mutations

Authentication

yaml
# Static header
headers:
  Authorization: "Bearer ${env.API_TOKEN}"

# Dynamic header forwarding
forward_headers:
  - x-forwarded-token

# OAuth (streamable_http transport)
transport:
  type: streamable_http
  auth:
    servers:
      - https://auth.example.com/.well-known/openid-configuration
    audiences:
      - https://api.example.com

Token Optimization

Enable minification to reduce token usage:

yaml
introspection:
  introspect:
    minify: true
  search:
    minify: true

Minified output uses compact notation:

  • T = type, I = input, E = enum
  • s = String, i = Int, b = Boolean, f = Float, d = ID
  • ! = required, [] = list

Mutations

Control mutation behavior via the overrides section:

yaml
overrides:
  mutation_mode: all       # Execute mutations directly
  # mutation_mode: explicit  # Require explicit confirmation
  # mutation_mode: none      # Block all mutations (default)

Common Patterns

GraphOS Cloud Schema

yaml
# schema.source defaults to uplink — can be omitted when graphos is configured
graphos:
  apollo_key: ${env.APOLLO_KEY}
  apollo_graph_ref: my-graph@production

Local Development

yaml
transport:
  type: streamable_http
schema:
  source: local
  path: ./schema.graphql
introspection:
  introspect:
    enabled: true
  search:
    enabled: true
  validate:
    enabled: true
  execute:
    enabled: true
overrides:
  mutation_mode: all

Production Setup

yaml
transport:
  type: streamable_http
endpoint: https://api.production.com/graphql
operations:
  source: manifest
  path: ./persisted-query-manifest.json
graphos:
  apollo_key: ${env.APOLLO_KEY}
  apollo_graph_ref: ${env.APOLLO_GRAPH_REF}
headers:
  Authorization: "Bearer ${env.API_TOKEN}"
health_check:
  enabled: true

Docker

yaml
transport:
  type: streamable_http
  address: 0.0.0.0
  port: 8000
endpoint: ${env.GRAPHQL_ENDPOINT}
graphos:
  apollo_key: ${env.APOLLO_KEY}
  apollo_graph_ref: ${env.APOLLO_GRAPH_REF}
health_check:
  enabled: true

Ground Rules

  • ALWAYS configure authentication before exposing to AI agents
  • ALWAYS use mutation_mode: explicit or mutation_mode: none in shared environments
  • NEVER expose introspection tools with write access to production data
  • PREFER operation files over ad-hoc execute for predictable behavior
  • PREFER streamable_http transport for remote and multi-client deployments
  • USE stdio only when the MCP client launches the server process directly
  • USE GraphOS Studio collections for team collaboration

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Apollo Mcp Server AI skill do?

Guide for using Apollo MCP Server to connect AI agents with GraphQL APIs. Use this skill when: (1) setting up or configuring Apollo MCP Server, (2) defining MCP tools from GraphQL operations, (3) using introspection tools (introspect, search, validate, execute), (4) troubleshooting MCP server connectivity or tool execution issues.

Why use Apollo Mcp Server on TypingMind?

Because you install it once and use it with any model. Apollo Mcp Server is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Apollo Mcp Server in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/apollographql/skills/tree/main/skills/apollo-mcp-server. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Apollo Mcp Server?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Apollo Mcp Server?

As many as you like. As long as a model supports skills, you can use Apollo Mcp Server with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Apollo Mcp Server AI skill free?

Yes. It is published on GitHub by apollographql under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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