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Glama
agentience

Tribal Knowledge Service

by agentience
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
PORTNoFastAPI server port8000
API_KEYNoAuthentication key for the APIdev-api-key
MCP_HOSTNoHost to bind to0.0.0.0
MCP_PORTNoMCP server port5000
SECRET_KEYNoJWT signing keyinsecure-dev-key-change-in-production
MCP_API_URLNoFastAPI server URLhttp://localhost:8000
REQUIRE_AUTHNoAuthentication requirementfalse
AWS_S3_BUCKETNoAWS S3 bucket name for AWS integration
AWS_ACCESS_KEY_IDNoAWS access key ID for AWS integration
PERSIST_DIRECTORYNoChromaDB storage path./chroma_db
AWS_SECRET_ACCESS_KEYNoAWS secret access key for AWS integration

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
track_errorA
Track an error and its solution in the knowledge base.

Args:
    error_type: Type of error (e.g., ImportError, TypeError)
    error_message: The error message
    language: Programming language (e.g., python, javascript)
    framework: Framework used (e.g., fastapi, react)
    code_snippet: The code that caused the error
    task_description: What the user was trying to accomplish
    solution_description: Brief description of the solution
    solution_code_fix: Code that fixes the error
    solution_explanation: Detailed explanation of why the solution works
    solution_references: List of reference links

Returns:
    The created error record
find_similar_errorsC
Find errors similar to the given query.

Args:
    query: Text to search for in the knowledge base
    max_results: Maximum number of results to return

Returns:
    List of similar error records
search_errorsC
Search for errors in the knowledge base.

Args:
    error_type: Type of error to filter by
    language: Programming language to filter by
    framework: Framework to filter by
    error_message: Error message to search for
    code_snippet: Code snippet to search for
    task_description: Task description to search for
    max_results: Maximum number of results to return

Returns:
    List of matching error records
get_error_by_idA
Get an error record by its ID.

Args:
    error_id: UUID of the error record

Returns:
    The error record or None if not found
delete_errorB
Delete an error record.

Args:
    error_id: UUID of the error record

Returns:
    True if deleted, False if not found
get_api_statusC
Check the API status.

Returns:
    API status information

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
Tribal System Instructions
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.4/5.0

Scored across 6 tools

Disambiguation4/5

Most tools have distinct purposes: track_error creates records, get_error_by_id retrieves single records, delete_error removes them, search_errors filters by multiple criteria, and find_similar_errors performs semantic similarity searches. However, search_errors and find_similar_errors could potentially be confused as both search for errors, though their approaches differ (filtering vs. similarity).

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with snake_case: delete_error, find_similar_errors, get_api_status, get_error_by_id, search_errors, and track_error. The naming is predictable and readable throughout the set.

Tool Count5/5

With 6 tools, this is well-scoped for a knowledge base service focused on error tracking. Each tool serves a clear purpose (CRUD operations, searching, and status checks), and none feel redundant or missing given the domain.

Completeness4/5

The toolset covers core CRUD operations (create via track_error, read via get_error_by_id, delete via delete_error) and searching (search_errors, find_similar_errors), with get_api_status for monitoring. A minor gap is the lack of an update tool to modify existing error records, which agents might need to work around by deleting and recreating.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources