Lunarcrush MCP connector for AI agents

Tools your agent reaches for on Lunarcrush MCP, scoped per user.

CALL ANY TOOL

Access social intelligence, sentiment scores, trending assets, and influencer data. Every call scoped to the authorizing LunarCrush account.

lunarcrush_trending_get

Fetch top trending assets by social momentum score.

lunarcrush_coin_get

Get sentiment and social stats for a specific coin.

lunarcrush_influencer_get

Retrieve influencer profiles and activity scores.

lunarcrush_feeds_list

List social media posts mentioning a specific asset.

lunarcrush_category_get

Get category-level social metrics for asset groups.

lunarcrush_topic_summary

Summarize social conversation volume around a topic.

Build your Agent

Drop the toolkit in, point it at the user, and your agent can query LunarCrush social data without touching a credential.

// Scalekit AgentKit — framework-agnostic
import { ScalekitClient } from "@scalekit/sdk";

const client = new ScalekitClient();
const token = await client.connections.getToken("lunarcrushmcp", userId);
const mcp = new MCPClient({ token });

// OpenAI SDK
import OpenAI from "openai";
import { ScalekitClient } from "@scalekit/sdk";

const sk = new ScalekitClient();
const token = await sk.connections.getToken("lunarcrushmcp", userId);
const client = new OpenAI();
const resp = await client.responses.create({ tools: [{ type: "mcp", server_url: mcpUrl, headers: { Authorization: `Bearer ${token}` } }] });

// Anthropic SDK
import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit/sdk";

const sk = new ScalekitClient();
const token = await sk.connections.getToken("lunarcrushmcp", userId);
const client = new Anthropic();
const resp = await client.beta.messages.create({ mcp_servers: [{ url: mcpUrl, authorization_token: token }] });

// Google GenAI SDK
import { GoogleGenAI } from "@google/genai";
import { ScalekitClient } from "@scalekit/sdk";

const sk = new ScalekitClient();
const token = await sk.connections.getToken("lunarcrushmcp", userId);
const ai = new GoogleGenAI();
const resp = await ai.models.generateContent({ tools: [{ mcpServers: [{ serverUrl: mcpUrl, httpOptions: { headers: { Authorization: `Bearer ${token}` } } }] }] });

Try these prompts

Paste any prompt into your agent to start pulling crypto social intelligence from LunarCrush.

"Show me the top 5 crypto assets by social momentum score in the last 24 hours, and flag any with unusual volume spikes."

"Get sentiment scores for BTC and ETH from LunarCrush and compare their social engagement trends over the past week."

"Which crypto influencers are most active right now, and what assets are they posting about?"

"Pull the latest social feed mentions for SOL and summarize the key narratives in the last 6 hours."

"Which DeFi category has the highest social engagement today, and what are the top 3 assets driving it?"

SEE HOW AUTH WORKS

Users authorize LunarCrush once. Their credentials stay vaulted, every call is checked, and every action is logged.

Authorize

Your user connects

Lunarcrush MCP

once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access

Who:

user ‘A’

when:

Once per user

access:

Limited to user

Store

Their

Lunarcrush MCP

token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection

vault:

encrypted

scope:

per-user

tokens:

auto-refreshed

Resolve

When your agent calls a

Lunarcrush MCP

tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs

speed:

~40ms

check:

before every call

seen by:

nobody

Audit

Every

Lunarcrush MCP

tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it

history:

90 days

export:

SIEM-ready

logged:

every call

Test other agents

Same per-user auth pattern across other analytics and market data connectors.

No items found.

Why Scalekit

Secure your agent's access. Connectors ship in minutes

Other connector libraries treat auth as a demo afterthought. Scalekit starts with a security model and builds the connector on top.

Without Scalekit

With Scalekit

OAuth token management

Manual refresh loops

Auto-rotated, vaulted

Credential storage

Plaintext in env vars

AES-256, per-user

Per-user scoping

Shared service token

Scoped to authorizing user

Audit trail

None

90-day log, per call

Revocation

Delete and redeploy

One API call

“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”

Venu Madhav Kattagoni

Head of Engineering / Von

FAQs

Frequently Asked Questions

Does my agent need a LunarCrush API key?

No. Each user authorizes via OAuth. Scalekit vaults the resulting token and injects it per call. Your agent code never handles credentials.

What happens if a user revokes access?

The token is invalidated immediately. Subsequent calls return an auth error and no data is returned. The audit log records the revocation event.

Can I use this in a multi-tenant SaaS product?

Yes. Credentials are isolated per user. Each call resolves the token scoped to the user making the request, never a shared service account.

On this page

Tool and actions Framework Compatibility Starter Prompt Auth Lifecycle Try Other Agents Why Scalekit