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"Understanding File Systems" matching MCP connectors:

GET /v1/connectors – MCP directory API reference

Matching Connector Tools:

  • Enhanciar is a company brain for engineering teams. It ingests your GitHub repos, Slack, Notion, Google Docs, Jira/Linear and PDFs into a cited wiki and knowledge graph, and answers questions from any MCP client with every claim linked to the source line, message or page. Tools: query (cited Q&A), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (blast radius of changing a file or function), list_repos, list_skills/get_skill, propose_action/list_proposed_actions (draft Jira/Linear/Slack/calendar actions for human approval). BYOK — bring your own model key. Early access: join the waitlist at https://enhanciar.in and create an API key in Settings.

  • Turn any video or audio recording into text your AI can read, summarize and search. Say "transcribe my video", drop the file on the private link, and your AI reads the transcript. Free plan, nothing to install.

  • ScanSing reads printed sheet music. Give Claude a PDF or a photo of a score and it gets back MusicXML, the format MuseScore, Sibelius, Finale and Dorico open. It is the recogniser inside the ScanSing app for choir singers, offered as a connector. Once a score is recognised, Claude can answer questions about it without recognising it again: - what the key, time signature, tempo and length are, and each part's range, clefs and lyrics; - one voice on its own, for example just the alto line of a choir piece; - the score or a part moved to another key, with notes respelled for the new key signature; - a MIDI file, one track per part, to listen to or rehearse with; - a short-lived download link to open the result in a browser or notation app. It handles PDFs up to 40 pages and PNG, JPEG, HEIC, TIFF and WebP images, can recognise selected pages of a long PDF, and can split a songbook into one MusicXML per piece. A file can be given as a web link or a small image; in Claude Code, a file on your computer is sent through a one-time upload link. Recognition spends pages from your ScanSing plan, so it is the only tool that is not read-only. Everything else works on the stored result and is free. The first connection with a new email comes with 20 free pages; paid plans start at $9 a month for 300 pages. Scores and results are deleted about an hour after recognition and are never used for training.

  • LMS (learning management system): manage courses, SCORM/xAPI, learners, certificates and reports.

  • Backend for AI build SAAS applications - auth, dynamo db, functions, file storage, etc

  • AI-powered life cycle assessment and modelling: connect to LCA databases, build and analyze systems

  • Redact personal data from text before your agent sends it to a model or stores it: names, contact details, ID numbers, financial and health identifiers, card numbers, plus any exact terms you add. Nothing stored, no third-party AI. Tools - redact_text: returns the redacted text and a count of what was removed, by type. Never the removed values. Options: restrict to particular data types, add exact terms to remove, choose the replacement style (a type label such as <PERSON> by default) and set a confidence threshold. - list_entity_types: lists the detectable data types. Free. Data handling - Nothing you send is stored. Text is processed in memory and discarded when the call returns. - No third-party AI. Text is never sent to OpenAI, Anthropic, Google or any other outside model. - Tool arguments are never logged. Only counts are kept: credits used, a timestamp and how many of each type were found. PDFs, including scanned pages, are handled by the REST API with the same key and credits. They aren't offered as an MCP tool because a file doesn't fit in a tool call. Pricing: 1 credit per call plus 1 per 1,000 characters. 10 free credits on sign-up, no card. Credit packs from $5; purchased credits never expire. Failed calls and repeated identical calls are free. Setup and API key: https://eleyed.com/mcp?utm_source=glama&utm_medium=directory&utm_campaign=listing

  • IPStack MCP Adapter turns IPStack's REST APIs into Model Context Protocol tools so any MCP-compatible client can call them directly in conversation. The first release ships IPStack IP geolocation and security lookups (single IP, caller's IP, and bulk). Additional APILayer services are added by registering them in a single config file, so the catalog grows without client-side changes.

  • Convert files between 400+ image, video, audio, document, ebook, archive and font formats.

  • Remote PDF processing over Streamable HTTP: merge, extract, split, rotate, lossless compression, metadata editing and Office-to-PDF. Requires a PaperLumo Bearer API key; OAuth-only clients are unsupported. Free beta: 500 credits/month, 100/day, 5 MB/file. Documentation: https://paperlumo.com/mcp

  • AI infrastructure for Australian civil construction. Public procurement data and connected systems.