Open-Source MCP tools

Analyze Axiom datasets using Axiom Processing Language (APL) to filter, aggregate, and extract insights. Focus on optimizing queries by reducing time ranges, selective projections, and using aggregations for efficient data processing.

Analyze and solve complex problems by breaking them into adaptable steps. Recommends MCP tools for each stage, providing rationale and execution order to maintain context and filter irrelevant information.

Break down complex problems into manageable steps, adjust approaches dynamically, and recommend tools for each stage. Ideal for planning, analysis, and multi-step solutions with evolving requirements. Track progress and refine strategies as understanding deepens.

Compute and evaluate mathematical expressions, including algebra, calculus, matrix operations, and equation solving, using symbolic computation for precise results.

Modify and configure existing workflows in the Unstructured API MCP Server by updating workflow IDs, nodes, and settings to optimize directed acyclic graph (DAG) structures.

Analyze and solve complex problems step-by-step with dynamic, reflective thinking. Adjust, revise, and branch insights while leveraging AI-generated meta-commentary and alternative approaches.

Find relevant game development code examples by performing a semantic search in a vector database. Retrieve structured code snippets for game mechanics, rendering, physics, AI, and other systems based on detailed requirements and specific game engine tags.

Define and automate data workflows with custom nodes for partitioning, chunking, prompting, and embedding. Configure directed acyclic graphs (DAGs) to process data from source to destination efficiently.

Analyze images with OpenRouter's vision models by providing a query and optional system prompt. Use this tool for detailed visual insights, object identification, or competitive analysis in AI-driven projects.

Systematically refines reasoning through iterative critique and revision, enhancing clarity and accuracy in complex problem-solving tasks. Ideal for detailed, multi-step analysis and error-prone scenarios.

Solve complex problems by breaking them into reusable atomic units of thought, enabling logical dependency formation, hypothesis verification, and high-confidence conclusions for critical decision-making.

Query data from Azure Storage Tables using OData filters, with optional property selection and a default limit of 5 items. Ideal for structured data retrieval and analysis.

Read, write, and edit files on the local filesystem using absolute paths. Supports reading file contents with optional line limits, overwriting files, and modifying specific text instances with precise context requirements.

Retrieve a comprehensive list of available resources, including image files and their URIs, to verify access and reference pre-existing images for manipulation or upload to Stability AI.

Modify and enhance blog posts by updating fields such as title, content, and metadata. Specify the post ID and modified data, including required timestamps, to ensure accurate revisions.

Send requests to the Supabase Management API to programmatically manage project settings, resources, and configurations. Specify HTTP method, path, parameters, and body for customized API calls, with automatic injection of project reference and safety mode controls for secure operations.

Safely delete a Terraform workspace by verifying it has no active resources first. Prevents accidental deletion of workspaces with active infrastructure. Returns status, errors, or affected resources.

Register a user request and plan associated tasks to initiate a structured workflow. Ensures user approval at each step, facilitating controlled task progression and completion management.

Create DecentSampler XML groups for drum kits, supporting basic and advanced configurations. Define velocity layers, sample mapping, and features like round robin or multi-mic setups. Validate paths, MIDI notes, and muting groups automatically.

Retrieve specific node data from a Figma file by providing the file key and node ID, enabling direct access to design elements for integration or analysis.

Update multiple Ghost CMS blog posts in bulk by applying filters and specifying update fields, such as status, tags, or metadata, ensuring efficient content management and consistency.

Retrieve detailed experiment metadata and results by ID, including outputs, annotations, and evaluator scores for analysis and comparison.

Monitor and detect significant spikes or drops in social volume for cryptocurrencies by analyzing percentage changes over a specified period. Set custom thresholds to receive alerts for notable shifts.

Add activities to a travel program in LumbreTravel by associating existing services, hotels, guides, vehicles, and extras. Ensure all required entities are pre-registered or created using relevant tools.

Generate new 3D objects in FreeCAD by specifying document name, object type (e.g., Part::Box, Draft::Circle), and properties like dimensions and colors.

Analyze SEC filings and extract financial data for over 8,000 public companies. Retrieve metrics, risk factors, and management discussions from documents like 10-K, 10-Q, and 8-K. Supports time-series analysis with daily updates and historical data since 2018.

Retrieve the complete OpenAPI specification for the Supabase Management API. Access endpoints, parameters, schemas, and safety details for API operations across domains like Auth, Database, Storage, and more. Use optional filters to focus on specific paths, methods, or domains.

Add existing passengers to a travel program in LumbreTravel. Requires passenger IDs and program ID. Use related tools to create or retrieve passenger details before proceeding.

Force unlock a Terraform Cloud workspace when normal unlocking fails, such as due to orphaned locks or unavailable users. Requires admin privileges and careful use to avoid disrupting active operations.

Finds and returns the closest matches to a given word from a list of possibilities using similarity scoring, with customizable cutoff and maximum matches. Useful for text comparisons and error correction.

Retrieve the next pending task for a given requestId, display task progress, and enforce user approval flow before proceeding to subsequent tasks. Ensures orderly task management in queue-based systems.

Execute CLI commands like pwd, cat, echo, find, ls, and grep in the /app directory. Flags such as -l, -h, --help, -v, -a, and -r are supported, but shell operators are not enabled for secure command execution.

Check the status of a 3D model generation task initiated by create_3d_model_from_text. Use the task_id to monitor progress, determine completion, or identify failures such as CANCELLED, FAILED, BANNED, or EXPIRED.