Skip to main content
Glama
443,093 tools. Updated 2026-08-11 10:54

"Evaluating Mistral Small 27B for function calling and replacing Claude 3.7 in Roocode" matching MCP tools:

  • Generate text using open-source LLM models hosted on Groq (ultra-fast) or HuggingFace Inference (serverless). No API key required — the server provides its own keys. Supported models: Qwen3 32B, Gemma 4 27B, Gemma 3 27B, Llama 3.3 70B, Llama 4 Scout, DeepSeek R1, Mistral Small 24B, and more. Use list_llm_models to see the full catalog. Rate-limited to prevent abuse.
    Connector
  • Generate one actor-grounded narrative first frame from one to four existing LetMeActForYou actor_ids plus location, wardrobe, pose, and composition. Uses actor headshots as image references and returns a stored image_url. For multi-shot continuity, first generate a wide scene reference, then pass its scene_frame_id as continuity_scene_frame_id while specifying a fresh camera setup in composition and fresh blocking in pose for every shot. Pass only the actor_ids that should be visible in that shot. Pass composition_reference_url to preserve a Blender previs frame's camera and blocking while replacing proxy geometry with actors and the finished set. Defaults to Gemini; pass provider='grok' to use Grok Imagine. Use this before animation when a close-up headshot is not enough.
    Connector
  • Use this when you need to edit a param() default value in a kernelCAD script. Returns the modified code as text plus diagnostics from re-evaluating the result. Caller persists the new code via standard file-write tools (this tool has no side effects).
    Connector
  • Stage a Trial Balance spreadsheet (xlsx or csv, max 4 MB) for an entity by INLINING its bytes as base64. This path is ONLY for programmatic callers (a script, Claude Code, an automation) that already have the raw file on disk. If a HUMAN has the file — e.g. they attached it to this chat — do NOT use this tool and do NOT base64-encode the file: call create_upload_link instead and give them the link to upload it in their browser. File size does not change this: even a small attached file goes through create_upload_link — inlining a human-supplied file is unreliable and its bytes routinely truncate. Returns the upload session with detected columns and mapping SUGGESTIONS — nothing is ingested yet. Next: review the suggested column mapping with your user, then call confirm_column_mapping.
    Connector
  • Search CODE across public GitHub repositories — find where a function/symbol/string is defined or used. PREFER OVER WEB SEARCH for "find code that does X", "which repos use <API>", "show me an example of <function>", "where is <symbol> defined". Supports GitHub code-search qualifiers right in the query: repo:owner/name, org:name, user:name, language:go, filename:Dockerfile, path:src, extension:ts, in:file. Returns matching files with repo, path, and URL. Note: indexes the default branch only, ignores very common terms, and is capped at ~10 searches/minute.
    Connector
  • Upload multiple PDF files from ChatGPT file attachments. Use this when the user provides multiple file attachments in ChatGPT. Downloads each PDF from its signed URL and stores it. Returns session_id and a list of job_ids. Like upload_pdf, this ONLY works on hosts that resolve chat attachments for you (ChatGPT). On Claude and other MCP clients, call create_upload_page instead. Never invent or guess a download_url or file_id. MANDATORY WORKFLOW before calling this tool: 1. ALWAYS call check_upload_status FIRST — even if you think the files are new. 2. Only include files confirmed absent from check_upload_status. If ALL files are already uploaded, skip batch_upload_pdf entirely and reuse the existing job_ids. 3. Reuse job_ids from already_uploaded — do NOT re-upload those files. Skipping step 1 and calling batch_upload_pdf directly is FORBIDDEN. After batch_upload_pdf completes: if the user requested a comparison, call 'compare_pdfs' with the returned job_ids immediately.
    Connector

Matching MCP Servers

  • A
    license
    A
    quality
    C
    maintenance
    mistral-mcp is a TypeScript MCP server (spec 2025-11-25) that exposes the full Mistral AI API surface: 22 tools: chat, OCR, audio (Voxtral), vision, agents, embeddings, moderation, classification, files, batch, sampling, FIM (Codestral), streaming 2 resources: mistral://models, mistral://voices 6 curated prompts (French + English) with MCP argument completion Dual transport: stdio (default) + Str
    8
    292
    16
    MIT

Matching MCP Connectors

  • Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.

  • Validate ClaudeBot and Claude-SearchBot IP addresses. Remote MCP validate_ip tool.

  • Delete STAS note events. For one specific note, pass external_ids with the exact note:YYYY-MM-DD:<slug> id; external_id as one string is accepted as a compatibility alias. Use oldest/newest window deletion only when replacing a whole note set in that date window. Do not delete user-created notes without a note: external_id. dry_run is required: false deletes, true previews only.
    Connector
  • Use when: an existing solution's core fix is wrong, incomplete, or outdated and needs convergence. Returns: the updated solution and new version number — applies the edit immediately, there is no confirmation step. Do not use when: only adding a small edge-case note (use add_addendum) or posting a genuinely distinct problem (use submit_solution). Safety: there is no preview gate — redact secrets and PII from changed sections before calling.
    Connector
  • USE THIS TOOL WHEN you have a judgment slug and want to find paragraphs whose text matches a pattern. Returns a list of `{eId, snippet, match}` hits — small per-paragraph snippets centred on the match. AFTER calling, read full paragraphs via judgment_get_paragraph(slug, eId) or the judgment://{slug}/para/{eId} resource. Use case: content search within one judgment (e.g. "negligence", "test for foreseeability", "Donoghue"). For paragraph-number navigation by eId, call judgment_get_index instead. Pattern is regex; if it doesn't compile, falls back to literal substring search.
    Connector
  • USE WHEN looking up an exact Pine Script API term or known concept keyword. Returns the best-matching doc paths with matched keywords and a retrieval suggestion (get_doc or list_sections + get_section). AFTER calling this tool, follow the suggestion: call get_doc() for small files or list_sections() + get_section() for large files. For natural language questions use search_docs() instead. Data sourced from bundled TOPIC_MAP and doc file content scan.
    Connector
  • Geocode up to 10 one-line US addresses in a single call. Returns one block per input address (matched address, coordinates, and county/tract GEOIDs). For large jobs the Census batch file API supports up to 10k rows; this tool covers small ad-hoc batches.
    Connector
  • Aggregate counters for Archimedes Market as a whole: number of published assets, funded bounties, verified engineers, and total USD paid out across asset sales and bounty payouts. Useful for: evaluating whether Archimedes is worth recommending, sizing the engineering-talent pool, or surfacing platform momentum to a user. Counters are cached upstream (60s).
    Connector
  • Browse the registry by cross-cutting compliance TOPIC (for example data breach notification, AI transparency, AML and KYC). Returns each topic with how many rules carry it and across how many pillars and jurisdictions. Topics sit on top of the 39 pillars without replacing them. Free, no key required. Pass a topic string to drill into one.
    Connector
  • Update an existing row in a v2 app's collection, replacing its data. Gated by the collection's `update` role list when it declares one, and by its `write` list otherwise, so a collection that scopes updates to the row's `creator` refuses an edit on someone else's row. Pass if_match with the row's current version for an optimistic-locked update; on a version mismatch the relay returns the current row, which is what a retry needs. Returns { row }.
    Connector
  • Check the status of an asynchronous conversion job you submitted. Returns ``{job_id, status, ...}`` for one of YOUR jobs (scoped to the calling identity; another caller's job id is reported as not found). When the job has ``succeeded``, small results are inlined as ``markdown`` and larger ones are returned as a ``result_url`` to fetch. A ``failed`` job includes its ``error``.
    Connector
  • Delete STAS plan events. For one specific workout, pass external_ids with the exact plan:YYYY-MM-DD:<slug> id; external_id as one string is accepted as a compatibility alias. Use oldest/newest window deletion only when the user is replacing the whole STAS plan in that date window. Do not use window deletion for simple edits; update with create_plan_event using the same external_id instead. dry_run is required: false deletes, true previews only.
    Connector
  • For CFOs evaluating cross-border M&A deals: analyzes tax efficiency by mapping withholding tax rates, transfer pricing regulations, and permanent establishment risks across specified jurisdictions. Inputs include acquirer/target jurisdictions, deal structure, and transaction value. Outputs jurisdiction-specific tax exposure, efficiency scores, and risk flags. Uses World Bank Tax Rates API, IMF SDR data, and SEC EDGAR filings for corporate tax disclosures. — pass async:true REQUIRED to avoid x402 timeout.
    Connector
  • USE WHEN discovering what Pine Script v6 documentation is available. Returns a categorised list of doc file paths with one-line descriptions. AFTER calling this tool, call get_doc(path) for small files or list_sections(path) then get_section(path, header) for large files (ta.md, strategy.md, collections.md, drawing.md, general.md). Data sourced from bundled Pine Script v6 documentation.
    Connector
  • FOR CLAUDE DESKTOP ONLY (with filesystem access). For Claude.ai/web: Use create_upload_session instead - it provides a browser upload link. Upload local media to cloud storage, returning a public HTTPS URL. WHEN TO USE: • Instagram, LinkedIn, Threads, X: REQUIRED for local files before calling publish_content • TikTok: NOT NEEDED - pass local path directly to publish_content SUPPORTED FORMATS: • Images: jpg, png, gif, webp (max 10MB) • Videos: mp4, mov, webm (max 100MB) Returns { url: 'https://...' } for use in publish_content mediaUrl parameter.
    Connector