Influship
REMOTE · MCP.INFLUSHIP.COM · 2 COMPONENTS
Find and analyze influencers with creator search, lookalikes, profiles, posts, and transcripts.
Available components
Last scanned (5 hours ago)
Scores higher than 81% of remote servers
Reachable. Last reached 5 Nov 2026.
Category Marketing and SEO
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security83
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC is configured correctly; the domain's records validate against the full chain to the root. View diagnostics → Pass
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability72
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 16092 tokens (~392/item across 41 items; 40 tools + 1 resources), over budget; trim descriptions and params. See how to fix → Fail
- Tools include usage examples.Pass
Stability & Change Management58
- Stability check failed: schema churn in the 30 days we've observed: 0 tool removals, 31 breaking changes, 0 auth/transport breaks, 3 additions. See how to fix → Fail
Tool Coverage94
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 80% of tool parameters carry a description.Partial
- Structured output schemas are declared (95% of tools); any adoption earns full credit.Pass
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "send_feedback" implies "send" and declares readOnlyHint instead, contradicting what its own name says it does. See how to fix → Fail
- An AI judge read all 41 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
- Supports UI / widget rendering.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 −8
- Stability: pass → fail ▼ security
- A breaking change shipped without a version bump: still 0.1.0 ▼ security
- Schema quality: 158 → 392 ▼ functional
- Tool coverage: 100% → 95% ▼ functional
- “get_youtube_video_transcript” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_youtube_video” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_youtube_video_transcript” added a required parameter “context”, so existing callers break ▼ functional
- “list_tiktok_comment_replies” added a required parameter “context”, so existing callers break ▼ functional
- “semantic_search_creators” added a required parameter “llm_model”, so existing callers break ▼ functional
- “semantic_search_creators” added a required parameter “context”, so existing callers break ▼ functional
- “search_youtube” added a required parameter “llm_model”, so existing callers break ▼ functional
- “search_youtube” added a required parameter “context”, so existing callers break ▼ functional
- “search_tiktok_users” added a required parameter “llm_model”, so existing callers break ▼ functional
- “search_tiktok_users” added a required parameter “context”, so existing callers break ▼ functional
- “search_creators” added a required parameter “llm_model”, so existing callers break ▼ functional
- “search_creators” added a required parameter “context”, so existing callers break ▼ functional
- “render_creator_shortlist” added a required parameter “llm_model”, so existing callers break ▼ functional
- “render_creator_shortlist” added a required parameter “context”, so existing callers break ▼ functional
- “render_creator_profile” added a required parameter “llm_model”, so existing callers break ▼ functional
- “render_creator_profile” added a required parameter “context”, so existing callers break ▼ functional
- “render_creator_comparison” added a required parameter “llm_model”, so existing callers break ▼ functional
- “match_creators” added a required parameter “llm_model”, so existing callers break ▼ functional
- “match_creators” added a required parameter “context”, so existing callers break ▼ functional
- “list_tiktok_video_comments” added a required parameter “llm_model”, so existing callers break ▼ functional
- “list_tiktok_video_comments” added a required parameter “context”, so existing callers break ▼ functional
- “list_tiktok_profile_videos” added a required parameter “llm_model”, so existing callers break ▼ functional
- “list_tiktok_profile_videos” added a required parameter “context”, so existing callers break ▼ functional
- “list_tiktok_comment_replies” added a required parameter “llm_model”, so existing callers break ▼ functional
- “find_lookalike_creators” added a required parameter “context”, so existing callers break ▼ functional
- “find_lookalike_creators” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_creator” added a required parameter “context”, so existing callers break ▼ functional
- “get_creator” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_instagram_post” added a required parameter “context”, so existing callers break ▼ functional
- “get_instagram_post” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_instagram_post_transcript” added a required parameter “context”, so existing callers break ▼ functional
- “get_instagram_post_transcript” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_instagram_post_transcripts” added a required parameter “context”, so existing callers break ▼ functional
- “get_instagram_post_transcripts” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_instagram_posts” added a required parameter “context”, so existing callers break ▼ functional
- “get_instagram_posts” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_instagram_profile” added a required parameter “context”, so existing callers break ▼ functional
- “get_instagram_profile” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_profile” added a required parameter “context”, so existing callers break ▼ functional
- “get_profile” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_sample_creator” added a required parameter “context”, so existing callers break ▼ functional
- “get_sample_creator” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_tiktok_music” added a required parameter “context”, so existing callers break ▼ functional
- “get_tiktok_music” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_tiktok_profile” added a required parameter “context”, so existing callers break ▼ functional
- “get_tiktok_profile” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_tiktok_video” added a required parameter “context”, so existing callers break ▼ functional
- “get_tiktok_video” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_tiktok_video_captions” added a required parameter “context”, so existing callers break ▼ functional
- “get_tiktok_video_captions” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_tiktok_video_transcript” added a required parameter “context”, so existing callers break ▼ functional
- “get_tiktok_video_transcript” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_tiktok_video_transcripts” added a required parameter “context”, so existing callers break ▼ functional
- “get_tiktok_video_transcripts” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_tiktok_videos” added a required parameter “context”, so existing callers break ▼ functional
- “get_tiktok_videos” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_youtube_channel” added a required parameter “context”, so existing callers break ▼ functional
- “get_youtube_channel” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_youtube_channel_transcripts” added a required parameter “context”, so existing callers break ▼ functional
- “get_youtube_channel_transcripts” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_youtube_typeahead” added a required parameter “context”, so existing callers break ▼ functional
- “get_youtube_typeahead” added a required parameter “llm_model”, so existing callers break ▼ functional
- “get_youtube_video” added a required parameter “context”, so existing callers break ▼ functional
- Tool coverage: 62% → 80% ▲ functional
- Destructive annotations: pass → 0 functional
- New tool “send_feedback” functional
- New tool “get_more_tools” functional
- “get_youtube_video_transcript” added an optional parameter “conversation_id” cosmetic
- “semantic_search_creators” added an optional parameter “conversation_id” cosmetic
- “search_youtube” added an optional parameter “conversation_id” cosmetic
- “search_tiktok_users” added an optional parameter “conversation_id” cosmetic
- “search_creators” added an optional parameter “conversation_id” cosmetic
- “render_creator_shortlist” added an optional parameter “conversation_id” cosmetic
- “render_creator_profile” added an optional parameter “conversation_id” cosmetic
- “render_creator_comparison” added an optional parameter “conversation_id” cosmetic
- “match_creators” added an optional parameter “conversation_id” cosmetic
- “list_tiktok_video_comments” added an optional parameter “conversation_id” cosmetic
- “list_tiktok_profile_videos” added an optional parameter “conversation_id” cosmetic
- “list_tiktok_comment_replies” added an optional parameter “conversation_id” cosmetic
- “find_lookalike_creators” added an optional parameter “conversation_id” cosmetic
- “get_creator” added an optional parameter “conversation_id” cosmetic
- “get_instagram_post” added an optional parameter “conversation_id” cosmetic
- “get_instagram_post_transcript” added an optional parameter “conversation_id” cosmetic
- “get_instagram_post_transcripts” added an optional parameter “conversation_id” cosmetic
- “get_instagram_posts” added an optional parameter “conversation_id” cosmetic
- “get_instagram_profile” added an optional parameter “conversation_id” cosmetic
- “get_profile” added an optional parameter “conversation_id” cosmetic
- “get_sample_creator” added an optional parameter “conversation_id” cosmetic
- “get_tiktok_music” added an optional parameter “conversation_id” cosmetic
- “get_tiktok_profile” added an optional parameter “conversation_id” cosmetic
- “get_tiktok_video” added an optional parameter “conversation_id” cosmetic
- “get_tiktok_video_captions” added an optional parameter “conversation_id” cosmetic
- “get_tiktok_video_transcript” added an optional parameter “conversation_id” cosmetic
- “get_tiktok_video_transcripts” added an optional parameter “conversation_id” cosmetic
- “get_tiktok_videos” added an optional parameter “conversation_id” cosmetic
- “get_youtube_channel” added an optional parameter “conversation_id” cosmetic
- “get_youtube_channel_transcripts” added an optional parameter “conversation_id” cosmetic
- “get_youtube_typeahead” added an optional parameter “conversation_id” cosmetic
- “get_youtube_video” added an optional parameter “conversation_id” cosmetic
- 25 Oct 26 0
- Tool “get_instagram_profile” rewrote its description, which is the text the model reads security
- 30 Sept 26 0
- Resource “creator-workspace-v3” was removed ▼ functional
- New resource “creator-workspace-creator-workspace-v3.html” functional
- 28 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 17 Sept 26 0
- Tool “list_tiktok_profile_videos” rewrote its description, which is the text the model reads security
- 9 Sept 26 0
- Tool “get_tiktok_video” rewrote its description, which is the text the model reads security
- Tool “list_tiktok_profile_videos” rewrote its description, which is the text the model reads security
- Tool “get_tiktok_video_transcript” rewrote its description, which is the text the model reads security
- Tool coverage: 68% → 61% ▼ functional
- Schema quality: 185 → 157 ▲ functional
- New tool “search_tiktok_videos” functional
- New tool “search_tiktok_users” functional
- New tool “list_tiktok_music_videos” functional
- New tool “list_tiktok_hashtag_videos” functional
- New tool “list_tiktok_comment_replies” functional
- New tool “get_tiktok_videos” functional
- New tool “get_tiktok_video_transcripts” functional
- New tool “get_tiktok_video_captions” functional
- New tool “get_tiktok_music” functional
- 4 Sept 26 0
- Tool “find_lookalike_creators” rewrote its description, which is the text the model reads security
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://mcp.influship.com/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=influship.com | CN=WE1,O=Google Trust Services,C=US | 14 Sept 2026 | 13 Dec 2026 | ECDSA 256 | ECDSA-SHA256 | c2c34425364570780e5f53f0415eeee6 |
| SANs: influship.com, *.influship.com | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC secure
Validation of mcp.influship.com. — Secure
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| influship.com. | present | 2371 | 13 | Verified |
| mcp.influship.com. | Verified address RRset verified with the apex keys |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=31536000; includeSubDomains |
| content-security-policy | default-src 'none';frame-ancestors 'none';base-uri 'self';font-src 'self' https: data:;form-action 'self';img-src 'self' data:;object-src 'none';script-src 'self';script-src-attr 'none';style-src 'self' https: 'unsafe-inline';upgrade-insecure-requests |
| x-content-type-options | nosniff |
| x-frame-options | SAMEORIGIN |
| referrer-policy | no-referrer |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://mcp.influship.com/mcp | Verified | 200 | |
| http (plaintext) | http://mcp.influship.com/mcp | HTTPS enforced | 301 | https://mcp.influship.com/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
search_tiktok_users Search TikTok users ~360
Fetch one page of TikTok user search results. Unknown profile fields are null. Continue with next_cursor and the same query; cursors are opaque. Each successful page, including an empty page, costs 0.2 account credits.
| Name | Type | Req | Description |
|---|---|---|---|
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,… |
| conversation_id | string | – | Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Kee… |
| cursor | string | – | – |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model… |
| query | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| count | number | – | – |
| data | – | – | – |
| has_more | boolean | – | – |
| next_cursor | string|null | – | – |
| not_found | array | – | – |
| ok | boolean | – | – |
| results | array | – | – |
| suggested_followups | array | – | – |
No examples provided.
search_tiktok_videos Search TikTok videos ~72
Fetch one relevance-ordered page of TikTok videos. Continue with next_cursor and the same query. Duplicate results are preserved. Media links are temporary. Each successful page, including an empty page, costs 0.2 account credits.
| Name | Type | Req | Description |
|---|---|---|---|
| cursor | string | – | – |
| query | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| count | number | – | – |
| data | – | – | – |
| has_more | boolean | – | – |
| next_cursor | string|null | – | – |
| not_found | array | – | – |
| ok | boolean | – | – |
| results | array | – | – |
| suggested_followups | array | – | – |
No examples provided.
search_youtube Search YouTube ~414
Search current YouTube results with discovery filters and cursor pagination. Filter by upload window, popularity, result type, duration, country, and language. Pass next_cursor back as cursor for the next page. Each page is one metered request.
| Name | Type | Req | Description |
|---|---|---|---|
| content_type | string | – | – |
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,… |
| conversation_id | string | – | Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Kee… |
| country_code | string | – | – |
| cursor | string | – | – |
| duration | string | – | – |
| language_code | string | – | – |
| limit | integer | – | – |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model… |
| q | string | yes | – |
| sort_by | string | – | – |
| upload_date | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| count | number | – | – |
| data | – | – | – |
| has_more | boolean | – | – |
| next_cursor | string|null | – | – |
| not_found | array | – | – |
| ok | boolean | – | – |
| results | array | – | – |
| suggested_followups | array | – | – |
No examples provided.
semantic_search_creators ~838
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.
| Name | Type | Req | Description |
|---|---|---|---|
| context | string | yes | Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,… |
| conversation_id | string | – | Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Kee… |
| creator_kinds | array | – | Optional creator kind filter. Omit for no creator-kind filter. |
| limit | integer | – | Maximum results to return. |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model… |
| max_engagement_rate | number | – | Maximum engagement rate as a percentage from 0 to 100. |
| max_followers | integer | – | Maximum follower count. |
| min_engagement_rate | number | – | Minimum engagement rate as a percentage from 0 to 100. |
| min_followers | integer | – | Minimum follower count. |
| platforms | array | – | Platforms to search. Omit for all. |
| query | string | yes | Natural-language semantic discovery query by topic, niche, audience, geography, or content style. Do not pass exact handles or usernames here; use get_profile, lookup_profiles, or autocomplete_creato… |
| verified | boolean | – | When set, only return verified or unverified creators. |
| Name | Type | Req | Description |
|---|---|---|---|
| count | number | – | – |
| data | – | – | – |
| has_more | boolean | – | – |
| next_cursor | string|null | – | – |
| not_found | array | – | – |
| ok | boolean | – | – |
| results | array | – | – |
| suggested_followups | array | – | – |
No examples provided.
send_feedback ~604
Send feedback about this server to its developers. Most important: report a missing capability whenever no available tool fits your task, even if you can work around it (feedback_type "missing_capability"). Also welcome: a tool that failed or confused you, an unhelpful error, or something that worked well. This records the feedback; it does not add or change tools. Do not include user PII or sensitive content.
| Name | Type | Req | Description |
|---|---|---|---|
| conversation_id | string | – | Pass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Kee… |
| details | string | – | Optional longer context: what you tried, exact parameter values, the error text you saw, and any workaround you used. Omit when the summary says it all. |
| feedback_type | string | yes | What kind of feedback this is. Use 'missing_capability' when the tool you needed does not exist in the tool list - nothing failed, the capability is absent (this is the most valuable report; send it… |
| friction_points | string | – | Optional: the specific moments that slowed you down, as short bullet-like sentences, quoting exact tool names, parameters, or error text. |
| llm_model | string | yes | The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model… |
| sentiment | string | – | Optional: how the experience felt overall. |
| suggested_improvement | string | – | Optional: the concrete change that would have helped, e.g. the tool to add, the description to reword, or the error message to improve. |
| summary | string | yes | One self-contained sentence. For 'missing_capability': the capability you needed, e.g. 'No tool to delete multiple cohorts in one call.' For 'issue': the tool and the problem, e.g. 'query-trends reje… |
| task_completed | boolean | – | Optional: whether you still completed the user's task despite the problem. |
| tool_name | string | – | Optional: the existing tool this feedback is about (for 'issue' or 'praise'). Leave empty for 'missing_capability' - the point is that no tool fits. |
No output schema declared.
No examples provided.
How do I install the Influship MCP server?
Influship is a hosted endpoint at https://mcp.influship.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · mcp.influship.com
claude mcp add --transport http influship-influship-mcp 'https://mcp.influship.com/mcp'
What is the Influship MCP server?
Influship is an MCP server listed in the public MCP registry as io.github.Influship/influship-mcp. Find and analyze influencers with creator search, lookalikes, profiles, posts, and transcripts. This page covers its hosted endpoint (https://mcp.influship.com/mcp).
Is the Influship MCP server safe to use?
Influship scores 80 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Influship MCP server expose?
Influship exposes 40 tools: get_sample_creator, search_creators, semantic_search_creators, autocomplete_creators, find_lookalike_creators, and 35 more. Their descriptions and schemas cost roughly 16,062 tokens of context every time the server is loaded.
Does the Influship MCP server require authentication?
No. We connected to Influship without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Influship MCP server still maintained?
Influship is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.