"Podcast Index" matching MCP servers:

Enables coding agents to query AI model API prices, including historical point-in-time lookups with cited sources, using a bundled dated dataset and requiring no API keys.

Exposes InferenceIndexer's live and historical inference pricing as MCP tools, enabling search of models, providers, price comparisons, and SIT index trends.

Live LLM API pricing: current token prices, model comparisons, cheapest-model lookups, and The LLM Price Index for 150+ models across 20+ providers, re-verified daily. No API key required.

Enables AI agents to upload, index, search, and analyze videos through the Reka Vision API, supporting natural language search, visual question answering, and extraction of transcripts and captions.

Enables an assistant to transcribe video or podcast recordings, then read, search, summarize, and manage the resulting transcripts through MCP tools.

AI news, model intelligence rankings (Artificial Analysis Index, deduplicated by model family), and AI tools/tutorials directory. Free, no API key required — 7 tools for news search, model lookup, rankings, and tools discovery.

AI-powered podcast clipper that generates vertical clips with face tracking and burned-in captions, with an MCP server enabling Claude Desktop and Claude Code integration.

Enables agents to trace any Hugging Face model's ancestry and descendants, find the most finetuned base models, and explore whole model families. It exposes tools for lineage, children, leaderboards, family views, and model search, answering from nightly-rebuilt index data.

Enables LLMs to audit data drift and model degradation in tabular ML pipelines through deterministic statistical tests such as Kolmogorov-Smirnov and Population Stability Index, plus reusable prompts and standards resources.

Lets any MCP client list and keyword-search a community-curated index of OpenAI Dots guides, news, tools and use cases, with optional filtering by section. Results are pulled from GitHub and cached for ten minutes, and the source list can be swapped via an environment variable.

Enables a single MCP server for interacting with multiple vector databases through pluggable backends, starting with Pinecone. It supports schema-aware index management, upserts, hybrid search, embeddings, TTL conventions, and namespace operations.

Enables MCP clients to administer a local LM Studio instance: loading, estimating, downloading, configuring and unloading models, running chat and embedding inference, diagnosing the server, engines and hardware, and managing MCP connectors with conflict-safe configuration. It also builds a local document index supporting citation-checked search and answers grounded in TXT, Markdown, PDF and DOCX files.

A launcher that exposes your local Nimbus index and agents to any MCP client by locating and execing the Nimbus CLI binary.

Search podcast episodes, pull transcripts, ask questions about an episode and export summaries as Markdown.

Provides AI agents with honest benchmark rankings (Agentic Memory Index and Agentic Search Index) for AI tools, plus graded checks and telemetry for x402 endpoints.

Turns a composer's own MIDI catalogue into a learned style profile, phrase index and critics, then composes from those phrases inside Ableton Live through Producer Pal. It hears the open Set, writes only to sanctioned SIDEKICK tracks, and closes the loop by scoring which suggestions survive the session.

Enables AI assistants to search a codebase by meaning rather than exact keywords by indexing files with local AI embeddings, alongside package-version lookup and index management tools. It supports incremental, resource-throttled indexing across multiple workspaces and IDE integrations.

Enables voice captures from a smart ring to search and append notes in a local Obsidian vault and query an OpenAI-compatible AI agent, returning answers as phone notifications.

Enables agents to browse and retrieve benchmark reasoning tasks, deterministically grade submitted answers, run the evaluation suite against a model provider, and inspect data provenance and the ranking-stability index entry. It also supports scoring stability analysis across repeated runs and prompt variants via its tools.

Serves MCP clients two tools, search_tools and call_tool, that index hundreds of MCP servers or OpenAPI specs and retrieve only the few tool definitions a request needs, cutting prompt context while raising tool-selection accuracy.