Skip to main content
Glama
Sign In

charm

by io.github.bitMacrocode
OverviewDiscussionsAdmin

Server Details

OEM automotive repair data - part numbers, torque specs, procedures for 1982-2013 vehicles.

If you are the author of this connector, you can claim ownership by verifying the domain or GitHub account it belongs to. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
Repository
bitMacrocode/charm-mcp
GitHub Stars
0
Server Listing
CHARM
ChatGPT
–
Claude
–

TDQS

A4.2/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct roles: one checks coverage by listing manufacturers, the other retrieves specific vehicle data. There is no overlap in functionality, so an agent can easily choose between them.

Naming Consistency4/5

Both tools share the 'charm_' prefix, and each name starts with a verb ('list' and 'lookup'). However, 'charm_list_makes' follows a verb-noun pattern while 'charm_lookup' is a bare verb, creating slight asymmetry.

Tool Count3/5

With only two tools, the server feels thin for the breadth of data it claims to cover (vehicles 1982-2013). While the two tools form a minimal workflow, the count is borderline acceptable for a simple read-only API.

Completeness4/5

The tool set covers the core workflow of checking coverage and performing lookups. A notable gap is the absence of a way to list models or years for a given make, but an agent can work around this by attempting a lookup.

Available Tools

2 tools
charm_list_makesAInspect

List all vehicle manufacturers covered by CHARM (1982-2013). Use to check coverage before a lookup.

Inputs: no named parameters. Returns: result

charm_lookupAInspect

Look up verified OEM part numbers, torque specs, fluid capacities, and service procedures for vehicles 1982-2013.

Returns structured data sourced directly from factory service manuals (not model-generated).
Provide year+make+model when known for a precise, isolated answer.

Args:
    query: What you want to know (e.g. "front brake caliper part number", "spark plug gap", "engine oil capacity")
    year: 4-digit year, 1982-2013
    make: Manufacturer (e.g. "Ford", "Honda", "Chevy Truck")
    model: Model name (e.g. "Taurus X", "Civic", "Silverado")
    system: Optional system filter (e.g. "brakes", "engine", "electrical")

Inputs: query (required), make, year, model, +1 more. Returns: result

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Related MCP Connectors

    Related MCP Servers

    • @aiwerk/mcp-server-wheel-size

      AIWerk
      A
      license
      A
      quality
      C
      maintenance
      Provides vehicle wheel and tyre fitment data for 10,000+ makes, models, and trim levels through 32 read-only tools, enabling searches by vehicle, rim, or tire specifications.
      32
      48 npm
      MIT

    • CarsXE

      carsxe
      A
      license
      A
      quality
      B
      maintenance
      Decode VINs, look up specs, history, recalls, market value, and OBD codes. Recognize license plates and VINs from images. Access comprehensive vehicle data by year, make, and model to power automotive workflows.
      12
      1
      MIT

    • mcp-taiho-toyota-bearing

      DileepWick
      A
      license
      Not graded
      quality
      D
      maintenance
      Authoritative Taiho Toyota Bearing Catalogue MCP server. Provides high-fidelity technical specs for Toyota engine bearings, monetized via X402. Optimized for automotive AI agents and procurement systems.
      1
      MIT
    Try in Browser
    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

    Glama MCP Gateway

    Add one secure layer between your agents and this server.

    Resources