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MCP Eval Runner logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 7:31:09 PM

MCP Eval Runner

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

A standardized testing harness for MCP servers and agent workflows

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "mcp-eval-runner": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/inspector"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (10) Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Capabilities & Tool Schemas (10) ~201 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Eval Runner.

run_suite

execute all fixtures in the fixtures directory; returns a pass/fail summary

run_case

run a single named fixture by name

list_cases

enumerate available fixtures with step counts and descriptions

create_test_case

create a new YAML fixture file (simulation mode; no `server` block)

scaffold_fixture

generate a boilerplate fixture with placeholder steps and pre-filled assertion comments

regression_report

compare the current fixture state to the last run; surfaces regressions and fixes

Documentation Overview

MCP Eval Runner

npm mcp-eval-runner package

A standardized testing harness for MCP servers and agent workflows. Define test cases as YAML fixtures (steps β†’ expected tool calls β†’ expected outputs), run regression suites directly from your MCP client, and get pass/fail results with diffs β€” without leaving Claude Code or Cursor.

Tool reference | Configuration | Fixture format | Contributing | Troubleshooting | Design principles

Key features

  • YAML fixtures: Test cases are plain files in version control β€” diffable, reviewable, and shareable.
  • Two execution modes: Live mode spawns a real MCP server and calls tools via stdio; simulation mode runs assertions against expected_output without a server.
  • Composable assertions: Combine output_contains, output_not_contains, output_equals, output_matches, schema_match, tool_called, and latency_under per step.
  • Step output piping: Reference a previous step's output in downstream inputs via {{steps.<step_id>.output}}.
  • Regression reports: Compare the current run to any past run and surface what changed.
  • Watch mode: Automatically reruns the affected fixture when files change.
  • CI-ready: Includes a GitHub Action for running evals on every config change.

Requirements

  • Node.js v22.5.0 or newer.
  • npm.

Getting started

Add the following config to your MCP client:

config.json
{
  "mcpServers": {
    "eval-runner": {
      "command": "npx",
      "args": ["-y", "mcp-eval-runner@latest"]
    }
  }
}

By default, eval fixtures are loaded from ./evals/ in the current working directory. To use a different path:

config.json
{
  "mcpServers": {
    "eval-runner": {
      "command": "npx",
      "args": ["-y", "mcp-eval-runner@latest", "--fixtures=~/my-project/evals"]
    }
  }
}

MCP Client configuration

Amp Β· Claude Code Β· Cline Β· Cursor Β· VS Code Β· Windsurf Β· Zed

Your first prompt

Create a file at evals/smoke.yaml. Use live mode (recommended) by including a server block:

yaml
name: smoke
description: "Verify eval runner itself is working"
server:
  command: node
  args: ["dist/index.js"]
steps:
  - id: list_check
    description: "List available test cases"
    tool: list_cases
    input: {}
    expect:
      output_contains: "smoke"

Then enter the following in your MCP client:

Code
Run the eval suite.

Your client should return a pass/fail result for the smoke test.

Fixture format

Fixtures are YAML (or JSON) files placed in the fixtures directory. Each file defines one test case.

Top-level fields

FieldRequiredDescription
nameYesUnique name for the test case
descriptionNoHuman-readable description
serverNoServer config β€” if present, runs in live mode; if absent, runs in simulation mode
stepsYesArray of steps to execute

server block (live mode)

yaml
server:
  command: node # executable to spawn
  args: ["dist/index.js"] # arguments
  env: # optional environment variables
    MY_VAR: "value"

When server is present the eval runner spawns the server as a child process, connects via MCP stdio transport, and calls each step's tool against the live server.

steps array

Each step has the following fields:

FieldRequiredDescription
idYesUnique identifier within the fixture (used for output piping)
toolYesMCP tool name to call
descriptionNoHuman-readable step description
inputNoKey-value map of arguments passed to the tool (default: {})
expected_outputNoLiteral string used as output in simulation mode
expectNoAssertions evaluated against the step output

Execution modes

Live mode β€” fixture has a server block:

  • The server is spawned and each step calls the named tool via MCP stdio.
  • Assertions run against the real tool response.
  • Errors from the server cause the step (and by default the case) to fail immediately.

Simulation mode β€” no server block:

  • No server is started.
  • Each step's output is taken from expected_output (or empty string if absent).
  • Assertions run against that static output.
  • Useful for authoring and CI dry-runs, but output_contains assertions will always fail if expected_output is not set.

Assertion types

All assertions go inside a step's expect block:

yaml
expect:
  output_contains: "substring" # output includes this text
  output_not_contains: "error" # output must NOT include this text
  output_equals: "exact string" # output exactly matches
  output_matches: "regex pattern" # output matches a regular expression
  tool_called: "tool_name" # verifies which tool was called
  latency_under: 500 # latency in ms must be below this threshold
  schema_match: # output (parsed as JSON) matches JSON Schema
    type: object
    required: [id]
    properties:
      id:
        type: number

Multiple assertions in one expect block are all evaluated; the step fails if any assertion fails.

Step output piping

Reference the output of a previous step in a downstream step's input using {{steps.<step_id>.output}}:

yaml
steps:
  - id: search_step
    tool: search
    input:
      query: "mcp eval runner"
    expected_output: "result: mcp-eval-runner v1.0"
    expect:
      output_contains: "mcp-eval-runner"

  - id: summarize_step
    tool: summarize
    input:
      text: "{{steps.search_step.output}}"
    expected_output: "Summary: mcp-eval-runner v1.0"
    expect:
      output_contains: "Summary"

Piping works in both live mode and simulation mode.

Note on create_test_case

Fixtures created with the create_test_case tool do not include a server block. They always run in simulation mode. To use live mode, add a server block manually to the generated YAML file.

Tools

Running

  • run_suite β€” execute all fixtures in the fixtures directory; returns a pass/fail summary
  • run_case β€” run a single named fixture by name
  • list_cases β€” enumerate available fixtures with step counts and descriptions

Authoring

  • create_test_case β€” create a new YAML fixture file (simulation mode; no server block)
  • scaffold_fixture β€” generate a boilerplate fixture with placeholder steps and pre-filled assertion comments

Reporting

  • regression_report β€” compare the current fixture state to the last run; surfaces regressions and fixes
  • compare_results β€” diff two specific runs by run ID
  • generate_html_report β€” generate a single-file HTML report for a completed run

Operations

  • evaluate_deployment_gate β€” CI gate; fails if recent pass rate drops below a configurable threshold
  • discover_fixtures β€” discover fixture files across one or more directories (respects FIXTURE_LIBRARY_DIRS)

Configuration

--fixtures / --fixtures-dir

Directory to load YAML/JSON eval fixture files from.

Type: string Default: ./evals

--db / --db-path

Path to the SQLite database file used to store run history.

Type: string Default: ~/.mcp/evals.db

--timeout

Maximum time in milliseconds to wait for a single step before marking it as failed.

Type: number Default: 30000

--watch

Watch the fixtures directory and rerun the affected fixture automatically when files change.

Type: boolean Default: false

--format

Output format for eval results.

Type: string Choices: console, json, html Default: console

--concurrency

Number of test cases to run in parallel.

Type: number Default: 1

--http-port

Start an HTTP server on this port instead of stdio transport.

Type: number Default: disabled (uses stdio)

Pass flags via the args property in your JSON config:

config.json
{
  "mcpServers": {
    "eval-runner": {
      "command": "npx",
      "args": ["-y", "mcp-eval-runner@latest", "--watch", "--timeout=60000"]
    }
  }
}

Design principles

  • No mocking: Live mode evals run against real servers. Correctness is non-negotiable.
  • Fixtures are text: YAML/JSON in version control; no proprietary formats or databases.
  • Dogfood-first: The eval runner's own smoke fixture tests the eval runner itself.

Verification

Before publishing a new version, verify the server with MCP Inspector to confirm all tools are exposed correctly and the protocol handshake succeeds.

Interactive UI (opens browser):

Terminal
npm run build && npm run inspect

CLI mode (scripted / CI-friendly):

bash
# List all tools
npx @modelcontextprotocol/inspector --cli node dist/index.js --method tools/list

# List resources and prompts
npx @modelcontextprotocol/inspector --cli node dist/index.js --method resources/list
npx @modelcontextprotocol/inspector --cli node dist/index.js --method prompts/list

# Call a tool (example β€” replace with a relevant read-only tool for this plugin)
npx @modelcontextprotocol/inspector --cli node dist/index.js \
  --method tools/call --tool-name list_cases

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

npm downloads
185
Package downloads in the last 30 days.
Last commit
3mo ago
Most recent push to the default branch.
Tools exposed
10
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Eval Runner

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-eval-runner": { "command": "npx", "args": ["-y", "mcp-eval-runner"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedMay 18, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit3mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on May 18, 2026
npm downloads185/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
49Quality signal: Fair Β· 49/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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