mcp_coordinator (angrysky56/mcp_coordinator) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 79 tools. No publisher has claimed this listing.
A self-improving coding agent MCP server that enables code execution, semantic memory, and reusable skills via sub-agents, turning your AI client into a meta-operating system.
Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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angrysky56
Source: Glama
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Install from
The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
COORDINATOR_API_URLDASHBOARD_LLM_PROVIDEROPENROUTER_API_KEYsk-or-... # Required for sub-agentsLLM_PROVIDERLLM_MODELFASTMCP_LOG_LEVELMILVUS_URICHATDAG_FORCE_TEARDOWNOPENROUTER_MODELgoogle/gemini-2.0-flash-exp:freeOPENAI_MODELOLLAMA_MODELMODELOPENAI_API_KEYOPENROUTER_BASE_URLOLLAMA_API_BASECONTEXT_STRATEGYtransformsMAX_AGENT_HISTORY50 # Sliding window for agent conversationMCP_ADDITIONAL_MOUNTS/path/to/extra/dir1,/path/to/extra/dir2 # Optional: Mount extra host directoriesOPENROUTER_TRANSFORMStrue # Auto-compress prompts > context sizeOPENROUTER_MAX_PRICEMAX_COMPLETION_TOKENSOptional hard limit on output tokensREASONING_MAX_TOKENSMCP_LOG_LEVELMCP_TOOL_LOGGINGtrue # Log all tool calls to SQLite (default: on)MCP_SANITIZE_LOGSfalse # Redact API keys, CC#s, SSNs from logsMAX_TOOL_OUTPUT_CHARSMCP_JSONMCP_SERVERS_CONFIG./mcp_servers.jsonMCP_EXECUTOR_TYPEdocker # docker local (docker recommended)DOCKER_IMAGEDOCKER_MEM_LIMITDOCKER_CPU_QUOTAMCP_PORT_RANGE_STARTMCP_PORT_RANGE_ENDMCP_CONNECT_TIMEOUTMCP_READ_TIMEOUTMCP_DISCOVERY_TIMEOUT30 # Seconds to wait for server discoveryTOOLS_OUTPUT_DIRMCP_WORKSPACE_DIR./workspaceMCP_KNOWLEDGE_BASE_DIR./knowledge_baseMCP_EXECUTOR_MANAGED_EXTERNALLYMCP_ALLOW_ALL_IMPORTSMCP_PREALLOCATE_PORTSPROVER9_PATHCOMPASS_TOOLS_ENABLEDEMBEDDING_PROVIDEREMBEDDING_MODELOLLAMA_BASE_URLLMSTUDIO_BASE_URLLMSTUDIO_API_KEYTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
79/79 tools missing one or more hints — generate_tools (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); execute_code (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); execute_file (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +76 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool test coverage
Only 19/79 tools referenced in tests (24%)
Write tests that reference each tool by name so every tool has at least one test.
Secrets not written to files
1 secret value written to files
Avoid persisting secrets to disk. Keep them in memory or your secret manager.
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