A lightweight, configuration-driven MCP server that exposes curated GraphQL queries as modular tools, enabling intentional API interactions from your
MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. A lightweight, configuration-driven MCP server that exposes curated GraphQL queries as modular tools, enabling intentional API interactions from your agents.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Once MCP is connected, these are the calls the assistant has available:
FORGE_CONFIG — Specifies the path to the folder containing the YAML configuration files (forge.yaml and tool definitions). Used if --forgeConfig is not setFORGE_DEBUG — If set to true (case-insensitive), enables detailed debug logging to stderr, including the obtained token and the full HTTP request/response forname — The name of the MCP serverurl — The URL of the GraphQL endpointtoken_command — The command to use to request the Bearer token for the Authorization header (optional)env — A map of environment variables to pass to the token command (optional)env_passthrough — If set to true, passes all environment variables used when invoking mcp-graphql-forge to the token command; if used in conjunction with env, thedescription — The description of the MCP toolquery — The GraphQL query to executeinputs — The list of inputs defined by the MCP tool and passed into the GraphQL query as variablestype — The parameter type; can be 'string' or 'number'required — Boolean value specifying if the attribute is requiredPlenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. MCP's toolset — FORGE_CONFIG, FORGE_DEBUG, name and 11 more — is a fair guide to whether it matches your workflow. It is maintained by UnitVectorY-Labs; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| FORGE_CONFIG | Specifies the path to the folder containing the YAML configuration files (forge.yaml and tool definitions). Used if --forgeConfig is not set. |
| FORGE_DEBUG | If set to true (case-insensitive), enables detailed debug logging to stderr, including the obtained token and the full HTTP request/response for GraphQL calls. Used if --forgeDebug is not set. |
| name | The name of the MCP server |
| url | The URL of the GraphQL endpoint |
| token_command | The command to use to request the Bearer token for the Authorization header (optional) |
| env | A map of environment variables to pass to the token command (optional) |
| env_passthrough | If set to true, passes all environment variables used when invoking mcp-graphql-forge to the token command; if used in conjunction with env, the variables from env will take precedence (optional, defaults to false) |
| description | The description of the MCP tool |
| query | The GraphQL query to execute |
| inputs | The list of inputs defined by the MCP tool and passed into the GraphQL query as variables |
| type | The parameter type; can be 'string' or 'number' |
| required | Boolean value specifying if the attribute is required |
| annotations | MCP annotations that provide hints about the tool's behavior (optional) |
| title | A human-readable title for the tool, useful for UI display (optional) |
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Microsoft's official browser automation server — drive a real browser through the accessibility tree, no screenshots needed.
GitHub's official server — repos, issues, pull requests, Actions and code security, straight from your assistant.
Issue tracking at the speed of conversation — Linear's official hosted server with OAuth and zero install.
Local repository surgery — status, diffs, commits, branches and history for any repo on disk.
Timezone sanity for AI — current time anywhere and correct conversions, without the model doing date math.