mcpbeat

Influship MCP Server

io.github.Influship/influship-mcp
answering

Influship is answering right now. Last checked 7 min ago. 49 installs a week from npm. It exposes 14 tools. Last commit 6 Jun 2026.

Find and analyze influencers with creator search, lookalikes, profiles, posts, and transcripts.

Installs per day peak 25 · avg 8 · +7% w/w
a month agotoday
Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
14
Tools
read from the server
267 ms
Response time
average over 24h
49
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

run in your terminal
claude mcp add influship-mcp --transport http https://mcp.influship.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "influship-mcp": {
      "url": "https://mcp.influship.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.influship-mcp]
url = "https://mcp.influship.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "influship-mcp": {
      "url": "https://mcp.influship.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "influship-mcp": {
      "url": "https://mcp.influship.com/mcp"
    }
  }
}

Available tools 14

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

instagram
get_instagram_post
Fetch raw Instagram post-page data by shortcode. Use this when the user needs fresh raw Instagram post metadata that is not guaranteed on regular cached post-list endpoints yet, including coauthors, tagged users, paid partnership metadata, product mentions, music attribution, location, display resources, and video versions.
get_instagram_post_transcript
Transcribe an Instagram video post by shortcode through the raw API. The response includes raw post metadata on a transcript cache miss. A cache hit omits the post field; use `get_instagram_post` when you need post metadata with a cached transcript.
get_instagram_post_transcripts
Transcribe a bounded list of Instagram video posts by shortcode through the raw API. Each successful item includes transcript data. The nested post field is present on cache misses and omitted on cache hits; use `get_instagram_posts` when you also need post metadata for every shortcode.
get_instagram_posts
Fetch raw Instagram post-page data for a bounded list of shortcodes through the raw API. Transient upstream recovery is handled automatically within the request deadline. Returns one item per requested shortcode with per-item success or error details.
autocomplete
autocomplete_creators
Autocomplete creator names, usernames, or display names from partial input. Use this for fast lookup when the user types a partial handle or name and you need to resolve it to canonical creator IDs (e.g., "find @cris" or "who's that fitness coach called Jane?"). Cheap and fast — prefer over `search_creators` for handle-style queries where the user already knows roughly who they want. Use `get_profile` instead when the user gives an exact platform+username pair. Use `search_creators` for the same fuzzy creator lookup behavior with a less typeahead- specific name. Use `semantic_search_creators` only for discovery by topic, niche, audience, geography, or content style, not for resolving a known creator. Examples: - User: "Who is that fitness coach called Jane?" -> use this tool. - User: "Find @cris..." -> use this tool to resolve the partial handle. - User: "Pull @niickjackson on Instagram" -> use `get_profile`, not this tool. Returns a short list of matching creators with their IDs, platforms, and display names. Use the IDs returned here as input to `get_creator`, `find_lookalike_creators`, or `match_creators` for downstream operations.
creator
get_creator
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.
creators
search_creators
Find a creator by name/handle, while preserving legacy semantic creator search. Use this as the default creator lookup tool when the user gives a creator-ish string but not a canonical creator UUID: a handle, partial handle, display name, creator name, or profile-ish text. This is cheap, fast, and backed by the creator lookup index. If the user gives an exact handle on a specific platform (for example "@niickjackson on Instagram"), prefer `get_profile` first because it returns the full platform profile. If you need to resolve a rough creator name or partial handle first, use this tool with `query_type: "creator_lookup"`. For backward compatibility, this tool still accepts the old semantic-search fields (`platforms`, follower/engagement filters, `creator_kinds`) and routes legacy calls to the semantic endpoint unless the query clearly contains a handle/profile URL. For new topical/niche discovery calls such as "fitness creators in NYC" or "vegan recipe creators with high engagement", prefer `semantic_search_creators` because its name is explicit and less likely to be confused with exact creator lookup. Examples: - User: "Find @cris" -> use this tool with query "cris" and query_type "creator_lookup". - User: "Who is that fitness coach called Jane?" -> use this tool with query "Jane" and query_type "creator_lookup". - User: "Pull @niickjackson on Instagram" -> use `get_profile` with platform "instagram" and username "niickjackson". - User: "Find news creators with 1M+ followers" -> use `semantic_search_creators`, not this tool. Returns either autocomplete-style creator lookup results or legacy semantic results, depending on routing. Use returned creator IDs with `get_creator`, `find_lookalike_creators`, or `match_creators`; use returned platform usernames with `get_profile` or `get_posts`.
lookalike
find_lookalike_creators
Find creators SIMILAR to one or more seed creators. Use this when the user already knows a creator they like and wants more like them (e.g., "find creators like @therock", "find more creators like these three I just booked"). Seeds are blended via creator-profile + visual-style + fact embeddings to surface similar accounts. Seeds are passed in `seed_creator_ids` (canonical UUIDs) and/or `seed_profiles` (platform + username; resolve handles via `autocomplete_creators` first if needed). Returns a ranked list of similar creators with scores. `limit` caps results (default 25, max 100). Use the flat follower, engagement-rate, and verified fields to constrain results. Use `semantic_search_creators` instead when you have a topic/niche but no seed. Use `match_creators` when you have specific candidates and want to score their fit against a brief. Examples: - User: "Find creators like @niickjackson on Instagram" -> use this tool with `seed_profiles: [{ platform: "instagram", username: "niickjackson" }]`. - User: "Find news creators with 1M+ followers" -> use `semantic_search_creators`, not this tool.
lookup
lookup_profiles
Batch-fetch up to 100 profiles by (platform, username) pairs. Use this when the user has a list of handles and you need profile data for all of them at once (e.g., "give me follower counts for these 30 accounts I'm considering" or "which of @a @b @c are real accounts?"). One round-trip beats 30 calls to `get_profile`. Use this for exact batch handle lookup, not semantic discovery. For one exact platform+username pair, use `get_profile`. For partial or fuzzy handle/name input, use `search_creators` or `autocomplete_creators`. Use `semantic_search_creators` only for topical/niche/audience discovery where false-positive semantic matches are acceptable. Examples: - User: "Compare @a, @b, and @c on Instagram" -> use this tool for the exact handle batch. - User: "Give me follower counts for these 30 accounts" -> use this tool. - User: "Find wellness creators in Austin" -> use `semantic_search_creators`, not this tool. The response splits results into `data` (profiles found) and `not_found` (the (platform, username) pairs that weren't recognized). Profiles are returned in no particular order — re-correlate via the platform/username fields if you need to preserve input order.
match
match_creators
Score how well specific creators fit a campaign brief or search intent. Use this when the user already has candidate creators in mind and wants to evaluate fit (e.g., "rate these 5 creators for a vegan cookbook launch", "which of these is the best match for my crypto audience?"). For each creator the API returns a match score (0-1), a good/neutral/avoid decision, and structured reasons. Pass candidates in `creator_ids` (canonical UUIDs) and/or `profiles` (platform + username). `intent_query` is the brief the LLM reasons against; `intent_context` is optional extra context (target audience, brand values, prior collabs). Use `semantic_search_creators` when you don't have candidates yet and need topical or niche discovery. Use `search_creators` first when you only need to resolve rough creator names/handles into candidates. Use `find_lookalike_creators` when you want creators similar to known good fits. Examples: - User: "Is @niickjackson a fit for Pixel?" -> use this tool after resolving the exact Instagram profile with `get_profile`; call `get_posts` first if recent content context is needed. - User: "Rate these five creators for a vegan cookbook launch" -> use this tool.
posts
get_posts
Fetch a creator's posts, sorted and paginated. Use this when the user asks to see what a creator has posted (e.g., "show me Jane's last 20 posts", "what are this creator's top-engagement reels?", "pull recent posts from creator-id ABC"). Identify the creator by either `creator_id` (UUID) OR (`platform` + `username`). `sort` defaults to "recent" (newest first); use "top_engagement" for the highest- engagement posts, or one of "most_likes" / "most_views" / "most_comments" for a specific metric. `limit` defaults to 12 and is capped at 50. Pass `cursor` from a previous response's `next_cursor` to paginate. Returns post records (caption, media URL, like/comment/view counts, timestamps), plus `has_more` and `next_cursor` for pagination. Examples: - User: "Show @niickjackson's recent Instagram posts" -> use this tool with platform "instagram" and username "niickjackson". - User: "Is @niickjackson a fit for Pixel?" -> use this after `get_profile` when the fit analysis needs recent content evidence, then call `match_creators`.
profile
get_profile
Fetch a single social profile by (platform, username). Always use this first when the user gives an exact handle on a specific platform (for example "@niickjackson on Instagram") and you need the full profile: bio, follower/engagement metrics, recent activity, growth, and the canonical creator ID. Pass exactly the username they typed without the @ sign — case-insensitive matching is handled server-side. Do not use `search_creators` for an exact platform+username lookup. Examples: - User: "Pull @niickjackson on Instagram" -> use this tool with platform "instagram" and username "niickjackson". - User: "Tell me about instagram.com/niickjackson" -> parse the platform and username, then use this tool. - User: "Is @niickjackson a fit for Pixel?" -> use this tool first, then call `get_posts` and/or `match_creators` if the task needs content or fit analysis. Returns the profile record plus the underlying creator record. If you already have a creator UUID, use `get_creator` instead. For batch lookups by handle, use `lookup_profiles`.
sample
get_sample_creator
Use this when a ChatGPT user wants to see what Influship can return before linking an account. Fetches one configured sample creator with social profile context. This is a low-cost preview tool and should not be used for search, discovery, matching, or lookalike requests. After showing the preview, tell the user that real live creator data, search, lookalikes, matching, posts, and transcripts require connecting an Influship account. Explain that they can authorize either an Influship SaaS subscription, where usage counts against monthly bundled credits, or an Influship API account, where usage is billed pay-as-you-go under API billing.
semantic
semantic_search_creators
Semantic discovery search for influencers/content creators using natural-language queries. Use this only when the user asks to discover creators by topic, audience, geography, niche, content style, or campaign criteria (e.g., "fitness creators in NYC", "vegan recipe creators with high engagement", "tech reviewers who cover phones"). The query is matched against creator profiles, extracted facts, and visual style via hybrid vector search. Do not use this for exact handles, usernames, or known creator names. If the user gives a specific platform and handle (for example "@niickjackson on Instagram"), use `get_profile` first. For rough name/handle lookup, use `search_creators`. For multiple known handles, use `lookup_profiles`. Semantic search can return lookalike or topical matches and is allowed to miss an exact username. Examples: - User: "Find news creators with 1M+ followers" -> use this tool. - User: "Find creators in LA who make cinematic travel videos" -> use this tool. - User: "Pull @niickjackson on Instagram" -> use `get_profile`, not this tool. - User: "Is @niickjackson a fit for Pixel?" -> use `get_profile` first, optionally `get_posts`, then `match_creators`. Returns a ranked list of creators (id, platform, username, follower count, engagement rate, top categories, evidence facts). Use the flat follower, engagement-rate, and verified fields to constrain results when the user gives concrete numeric constraints. Use `find_lookalike_creators` instead when you want creators SIMILAR to known ones. Use `match_creators` when you want to SCORE specific creators against a brief.

Endpoints

URLTransportStateLatencyChecked
https://mcp.influship.com/mcp streamable-http answering 238 ms 7 min ago

Influship — questions

Answers built from our own checks of this server.

What can Influship do?
It exposes 14 tools, read directly from the server on our last check. Among them: autocomplete_creators, find_lookalike_creators, get_creator, get_instagram_post, get_instagram_posts, get_instagram_post_transcript and 8 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Influship working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 267 ms. The bar chart above shows every period we have measured.
How do I connect Influship?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Influship need an API key?
No. Influship completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 14 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Influship?
It answers our handshake in 267 ms on average, which is faster than 50% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Influship?
The npm package @influship/mcp was installed 49 times in the last week. Week over week that is +7%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Influship open source?
Yes — it is published under the MIT licence, written in JavaScript and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.