A Model Context Protocol (MCP) server that provides comprehensive access to Flame game engine documentation for AI assistants like Claude Desktop and
Flame MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. A Model Context Protocol (MCP) server that provides comprehensive access to Flame game engine documentation for AI assistants like Claude Desktop and Amazon Q Developer.
Once Flame is connected, these are the calls the assistant has available:
search_documentation — The search_documentation tool exposed by this servertutorial — The tutorial tool exposed by this serverYou will need one environment variable: GITHUB_TOKEN. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
This sits in the knowledge and memory group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Flame's toolset — search_documentation, tutorial — is a fair guide to whether it matches your workflow. It is maintained by salihgueler; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Flame's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| search_documentation | The search_documentation tool exposed by this server. |
| tutorial | The tutorial tool exposed by this server. |
| Variable | Description | Required |
|---|---|---|
| GITHUB_TOKEN | Credential the server authenticates with. | Yes |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.