Fetch any URL with automatic JS rendering and captcha solving, returning Markdown for LLM consumption. Supports geo-targeting across 195+ countries.
MIT
194,587 tools. Last updated 2026-06-11 22:32
"Using a second LLM to collaborate with a primary LLM for problem-solving and quality improvement" matching MCP tools:
- Translate a natural-language question into an SQL statement using an LLM. Review the generated SQL before executing it with run_sql.MIT
- Retrieve relevant passages from your personal knowledge base and generate answers using a local LLM, keeping your data private.MIT
- Retrieve complete details of a specific LLM call using its ID, including messages, response, tools used, and call ancestry. Ideal for debugging and analyzing AI agent interactions.MIT
- Retrieve an LLM-optimized usage guide for any LPM package to understand its purpose, quick start code, exports, patterns, and pitfalls.ISC
- Get a comprehensive profile for a user or volume with categorized facts, relationships, and activity. Provides a pre-formatted context block for LLM injection.MIT
Matching MCP Servers
- FlicenseBqualityCmaintenanceProvides a universal bridge to interact with any OpenAI-compatible LLM API (local or cloud), enabling model testing, benchmarking, quality evaluation, and chat operations with performance metrics.Last updated8
- AlicenseBqualityDmaintenanceShare code context with LLMs via MCP or clipboardLast updated4301Apache 2.0
Matching MCP Connectors
Cloudflare Workers MCP server: llm-output-quality-monitor
JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.
- Delete a large language model by its unique ID. Permanently removes the specified LLM from the system.MIT
- Retrieve details of a specific LLM by its UUID. Returns full model information from Anam.MIT
- Retrieve a paginated list of LLM calls with filters for date, model, status, and sort order to monitor AI agent performance and costs.MIT
- Extracts OceanBase documentation context using keywords from user queries, enabling accurate LLM responses by retrieving and integrating relevant information dynamically.Apache 2.0
- Obtain a sparse verification artifact with raw calldata and decoding instructions for independent cross-check by a second LLM, enabling adversarial verification of transaction safety before Ledger approval.Business Source 1.1
- Set up a curated, synced folder of Bear notes for LLM consumption. This one-time operation creates the directory structure and config; tag notes with #context to pull them in later.MIT
- Score agent output quality using an LLM judge for nuanced assessments of factual accuracy, helpfulness, safety, or RAG faithfulness. Returns calibrated score with rationale and cost.MIT
- Identifies duplicate memory pairs by scanning cross-references for high similarity scores, with optional semantic comparison using an LLM to merge or remove duplicates.MIT
- After solving a non-trivial problem, contribute a generalized problem-solution pair to the OpenHive knowledge base for other agents to reuse.MIT
- Extract structured data from web pages using LLM capabilities. Define specific information to retrieve with custom prompts and JSON schemas for organized output.
- Analyze code already in context to receive structured findings, a quality score, and improvement suggestions. Supports security, performance, quality, or comprehensive reviews.Apache 2.0
- Auto-save a working solution with context from your last similar search. Just provide the solution text; problem metadata is filled automatically.MIT
- Create an ITIL problem record to document root-cause analysis and known-error tracking for recurring incidents. Requires a problem title.MIT
- Returns a sparse verification artifact for independent cross-check: raw calldata, chain, payloadHash, and decoding prompt for a second LLM, so you can verify the transaction without shared context.Business Source 1.1