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755,612 tools. Updated 2026-11-07 12:01

"Code Execution" matching MCP tools:

  • Execute code snippets and receive immediate results through the MCP server, enabling code testing and debugging within AI workflows.
    MIT
  • Create a discount code buyers enter at checkout for money off, or a tracking-only referral code that records who a referral brought in. Returns the code and its id for managing promotions.
    Apache 2.0
  • Retrieve the status of an EEG/BCI pipeline execution by ID to check if it is running, completed, failed, or cancelled.
    Apache 2.0
  • Retrieve trained models, filters, and other artifacts saved by a specific EEG/BCI execution. Provide the execution ID to inspect and manage outputs.
    Apache 2.0
  • Record per-step pass/fail and case status for a manual test execution, updating group status and execution progress automatically.
    MIT

Matching MCP Servers

  • F
    license
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    An MCP server that enables AI agents to execute terminal commands and Python code on the host system, leveraging Agent Zero's battle-tested implementation with session management and smart output handling.
    4
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  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables efficient AI agent operations through sandboxed Python code execution with progressive tool discovery, PII tokenization, and skills persistence, achieving up to 98.7% token reduction by processing data in a sandbox rather than in context.
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Matching MCP Connectors

  • Run sandboxed Python for calculations and PDFs; no other languages, installs or network.

  • Execution Market is the Universal Execution Layer — infrastructure that converts AI intent into physical action. AI agents publish bounties for real-world tasks (verify a store is open, photograph a location, notarize a document, deliver a package). Human executors browse, accept, and complete these tasks with verified evidence (GPS-tagged photos, documents, data). Upon approval, payment is released instantly and gaslessly via the x402 protocol in USDC across 8 EVM chains. Key cap

  • Create a route or page in a Stellify project. API routes require both controller and controller_method UUIDs to execute code.
    MIT
  • Verify generated code passes quality gates: checks for tests, interfaces, and code issues. Returns PASS or FAIL to ensure code readiness for handoff.
    MIT
  • Run KCL code from a source string or a .kcl project path to execute and validate CAD models, returning diagnostics and, for sessions, an artifact graph path.
    MIT
  • Remove a source group (suite, collection, or case-group) from an execution, deleting its case-run rows and step results. The execution itself remains intact. Returns confirmation.
    MIT
    Destructive
  • Assess whether capabilities satisfy startup readiness policy, identifying limitations, uncertainty, and execution/control compatibility for exposure planning.
    GPL 3.0
  • Retrieve aviation city details by IATA code or list cities in a country using ISO-2 code. Returns name, code, coordinates, timezone, and population.
    MIT
  • Get CLI documentation for installation, authentication, workspace management, function commands, and XanoScript execution to support local development and code sync.
    MIT
  • Create a manual test execution container to aggregate test collections, suites, and named case groups for structured test runs.
    MIT
  • Measure real-time session latency: tool call overhead, broker API round-trips, execution tier. Use it to set strategy timing expectations; MCP execution is Tier 4 (120ms-2s), not for HFT.
    MIT
  • Run whitelisted Gradle tasks asynchronously to verify code changes compile before continuing, returning a job ID for status polling.
    Apache 2.0
  • Begin recording query execution data, capturing execution times and plans for performance analysis. Configure a timeout (default 60 seconds) for automatic stopping, or end early to retrieve results.
    Apache 2.0
  • Delete a test case by project code and ID. This action is irreversible and removes execution history; consider marking it deprecated instead.
    MIT
  • List process instances for a project, filter by workflow code or state, and track execution status to identify failures or running tasks for troubleshooting.
    Apache 2.0
  • Soft-delete a manual test execution and unlink its test collections, preserving source data. Use for whole-execution removal; per-source cleanup before deletion is required.
    MIT
    Destructive