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501,114 tools. Updated 2026-08-31 23:26

"A platform for professional networking and job searching" matching MCP tools:

  • Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.
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  • Rank published articles for a query and return them with titles and URLs. Use when you want sources to read rather than a single answer. Search is sense-aware: bare MSO promotes only the Hong Kong Money Service Operator owner, professional-industry context promotes the regulated-practice platform, and genuinely conflicting context returns both with an explicit interpretation object.
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  • Retrieve the name and description of the company behind a job, by job ID. Use this tool when users want more detail about a company than search_jobs/get_job_details return (e.g. after finding a job and wanting to know more about the company that posted it). DO NOT use for: searching/discovering companies or jobs by keyword (use search_jobs instead). LLM USAGE INSTRUCTIONS: - The typical flow is: search_jobs to find jobs -> user picks one -> offer to look up the company -> if the user agrees, call this tool with that same job_id (the same guid used for get_job_details; no separate lookup step is needed first). - Do not call this automatically right after get_job_details; ask the user first unless they already explicitly asked for company details. - Not every company has published an employer branding profile, and some profiles are marked not visible by the company. When that happens this tool does NOT raise — it returns a Company with `message` set and empty name/desc. Relay that message to the user (e.g. "Looks like that company hasn't published a public profile.") rather than treating it as an error. Args: job_id: The unique identifier of the job whose company to look up (required). This must be the job's `guid` field from a search_jobs result, NOT its `id` field — `id` is a different, internal identifier that this tool does not accept. Returns: Company: Contains: - name: The company name (empty if message is set) - desc: The company description (empty if message is set) - message: Set instead of name/desc when there is no visible company profile to show; None when name/desc are populated Raises: Exception: If the job is not found, an API call itself fails (network error, non-200 response, GraphQL errors), or input validation errors occur
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  • Check the status of a Tomorrow Central job. Poll this after starting any scan. Status goes QUEUED → RUNNING → COMPLETED (or FAILED). A typical scan takes 1-3 minutes. The response's `poll_after_seconds` field is the minimum wait before polling again — respect it. Never start a second scan while one is RUNNING; the platform coalesces duplicates onto the in-flight job anyway (`coalesced: true`), and rate-limit errors include `retry_after_seconds` telling you exactly how long to back off.
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  • Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.
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  • Upload JSON metadata to IPFS via Pinata and return the ipfs:// URI. Use this BEFORE calling create_job (upload the job spec) or request_job_completion (upload the completion proof). Requires a Pinata JWT — get one free at https://app.pinata.cloud/developers/api-keys. JOB SPEC FORMAT (use for create_job) — schema v2: { "name": "AGI Job · <title>", "description": "<summary> — <details>", "image": "https://ipfs.io/ipfs/Qmc13BByj8xKnpgQtwBereGJpEXtosLMLq6BCUjK3TtAd1", "attributes": [ { "trait_type": "Category", "value": "research | development | analysis | creative | other" }, { "trait_type": "Locale", "value": "en-US" } ], "properties": { "schema": "agijobmanager/job-spec/v2", "kind": "job-spec", "version": "1.0.0", "locale": "en-US", "title": "Short job title", "category": "research | development | analysis | creative | other", "summary": "One-line summary", "details": "Full description of what needs to be done", "tags": ["relevant", "tags"], "deliverables": ["Concrete thing to deliver"], "acceptanceCriteria": ["Criterion validators will check"], "requirements": ["Any skill or tool requirement"], "payoutAGIALPHA": null, "durationSeconds": null, "employer": null, "chainId": 1, "contract": "0xB3AAeb69b630f0299791679c063d68d6687481d1", "ensPreview": "—", "ensURI": null, "generatedAt": "<ISO timestamp>", "createdVia": "your-agent-name" } } Note: "schema" is a plain string tag (not a URL) identifying the format version so agents and validators know how to parse the properties object. COMPLETION FORMAT (use for request_job_completion): { "name": "AGI Job Completion · <job title>", "description": "Final completion package for Job <jobId>. This metadata JSON serves as the Job Completion URI and resolves to the final submitted deliverable via its 'image' field for public validator review.", "image": "ipfs://<CID of primary deliverable — any file type: PNG, TXT, PDF, JSON, etc. Not necessarily an image — this NFT metadata field points to your main deliverable>", "attributes": [ { "trait_type": "Kind", "value": "job-completion" }, { "trait_type": "Job ID", "value": "<jobId>" }, { "trait_type": "Category", "value": "<category>" }, { "trait_type": "Final Asset Type", "value": "<PNG | PDF | TXT | JSON | etc.>" }, { "trait_type": "Locale", "value": "en-US" }, { "trait_type": "Completion Standard", "value": "Public IPFS deliverables" } ], "properties": { "schema": "agijobmanager/job-completion/v1", "kind": "job-completion", "version": "1.0.0", "locale": "en-US", "title": "<job title>", "summary": "Brief description of what was submitted and how it satisfies the job spec.", "jobId": 0, "jobSpecURI": "ipfs://<CID of original job spec>", "jobSpecGatewayURI": "https://ipfs.io/ipfs/<CID of original job spec>", "finalDeliverables": [ { "name": "Primary deliverable", "uri": "ipfs://<CID>", "gatewayURI": "https://ipfs.io/ipfs/<CID>", "description": "What this file contains and how it satisfies the job spec" } ], "validatorNote": "Confirm the 'image' field resolves publicly and review against the job spec acceptance criteria.", "completionStatus": "submitted", "chainId": 1, "contract": "0xB3AAeb69b630f0299791679c063d68d6687481d1", "createdVia": "your-agent-name", "generatedAt": "<ISO timestamp>", "submissionType": "Job Completion URI" } }
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Matching MCP Servers

  • F
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    B
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    Enables personalized Korean job search by providing independent MCP servers for Wanted, Saramin, and JobKorea job APIs, along with a resume-based agent skill for tailored job matching.

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  • Retrieve the results of a job. Can be called before completion for partial results, or after completion for the full set. Returns clustered, validated, and enriched web results. While job status is active, call this repeatedly (typically page=1) to refresh partial output. When job reaches completed, iterate all pages. If job fails, call once more to capture any partial output.
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  • Stop a YouTube bulk reporting job. IRREVERSIBLE IN A WAY THAT IS EASY TO MISS: the job IS the history — deleting it discards every daily CSV it has accumulated, and a replacement job starts over with only a 30-day backfill, so anything older than that is gone for good. Call WITHOUT confirm first: nothing is deleted and you get the real job read back from YouTube (its report type and when it was scheduled) to show the user. Then call again with confirm:true. Needs a connected YouTube channel.
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  • Current developer-platform plans and pricing: Free, Developer, and Professional tiers with monthly price, included API-call allowance, and overage rates. One metered allowance spans REST and MCP usage. No authentication required.
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  • Generate an invoice for a completed job. If Stripe Connect is active, automatically creates a payment link. Returns invoice number, total, and payment URL. Requires: job_id from jobs.list (job must be status=Completed). Next step: payments.send_link if needed.
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  • Generate a read-only probability forecast for a clearly stated future event by searching relevant prediction markets and synthesizing evidence. Use when the user asks for a probability, outlook, or forecast; use polybridge_search when they only need market discovery. Does not place trades, provide financial advice, or access private/internal data.
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  • List registered BYOK providers (masked — only the last 4 characters). Returns {keys: [...]}; an empty list means no keys are registered (every job bills platform credits).
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  • Retrieve the results of a job. Can be called before completion for partial results, or after completion for the full set. Returns clustered, validated, and enriched web results. While job status is active, call this repeatedly (typically page=1) to refresh partial output. When job reaches completed, iterate all pages. If job fails, call once more to capture any partial output.
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  • List every service category Muovi supports in Argentina — home trades (electricidad, plomería, gas, pintura, carpintería, cerrajería, albañilería, herrería, techista), limpieza, jardinería, aire acondicionado, and moving/hauling: mudanzas (movers) and fletes (light freight/hauling). Every listed professional is identity-verified and reviewed, with on-platform payment and dispute resolution. Each entry has a stable `slug` (used as the `service` parameter on `muovi_search_professionals` and `muovi_create_task_link`), a human-readable `name`, an optional description, and a `requires_matricula` flag indicating whether listed professionals must hold a verified professional license. Call this first when you need to map a user's natural-language request to a Muovi service slug.
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  • Retrieve a job's full description and associated skills by job ID. Use this tool when users want more detail about a specific job than search_jobs returns (e.g. after finding a job via search_jobs and wanting its full description and skills list). DO NOT use for: searching/discovering jobs by keyword (use search_jobs instead). LLM USAGE INSTRUCTIONS: - Only call this after the user has picked out a specific job from search_jobs results (or otherwise supplied a job's guid directly) — do not call it speculatively for every search result. - After returning job details, do NOT automatically call get_company. Instead, offer to look up the company (e.g. "Want me to pull up more info on the company?") and only call get_company, passing this same job_id, if the user says yes. Args: job_id: The unique identifier of the job to retrieve (required). This must be the job's `guid` field from a search_jobs result, NOT its `id` field — `id` is a different, internal identifier that this tool does not accept. Returns: JobDetails: Contains: - description: The full job description - skills: List of Skill objects associated with the job Raises: Exception: If the API call fails, the job is not found, or input validation errors occur
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  • 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``.
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  • Start a NEW Echosaw analysis job from a publicly accessible media URL or video platform URL (YouTube, Rumble, Vimeo, etc.). This is an entry point that creates a job and begins processing — it does not fetch previously analyzed media (use echosaw_download_media for that). Returns a job ID (mediaId) used to track processing and retrieve results.
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  • Read an asynchronous ArtDirection authoring job. Poll the job ID returned by author_art_direction or iterate_art_direction until status is done or failed. A done job includes the authored markdown and, when save=true, the saved art_direction_id. Iteration jobs also expose their source ID, expected revision, and apply outcome. A failed job includes per-source status and safe failure reason.
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  • List posts/stories. platform="reddit": REQUIRES channel (subreddit); sort? hot|new|top|rising|controversial; time? for top/controversial; limit≤20. platform="hackernews": sort carries the ranking top|new|best|ask|show|job (default top); channel ignored; limit≤30. 1 credit · read-only. (requires a free Prowlo account — call it to get a signup link)
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  • Reconciles two sets of records — your books against a bank, platform, or supplier statement. Matches rows on a key column, compares an amount column, and returns three lists: only in A, only in B, and same key but different amount. Amounts are compared in integer cents, so 0.1 + 0.2 never invents a phantom difference for someone to chase. The response also proves the result: the listed differences are re-added and must equal the gap between the two totals, checked in code. Use for month-end close, platform payouts vs orders, or any "these two numbers should agree and do not" problem. This is the job people do by hand with VLOOKUP or a groupby and then cannot prove they got right.
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