Advertise
MCP.so
Sign In

Messari Influencer Mindshare and Asset Analysis MCP Server

@N-45div

Repository

Basic information

Category

AI & Agents

License

MIT license

Transports

stdio

Author

N-45div

About Messari Influencer Mindshare and Asset Analysis MCP Server

A MCP server powered by Messari Chat Agent API and an LLM based kit for mindshare and set insights over the time and plots to be the next crime-fighting AI toolkit.

#messari#mindshare#crypto-analysis

Messari Influencer Mindshare and Asset Analysis MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Messari Influencer Mindshare and Asset Analysis MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Messari Influencer Mindshare and Asset Analysis?

A Python-based MCP server that analyzes mindshare data for cryptocurrency assets and Key Opinion Leaders (KOLs) using the Messari API. It fetches daily mindshare scores, detects anomalies via z-scores, visualizes trends in Google Colab, and optionally enriches anomalies with sentiment analysis via the Mistral API. Designed for crypto researchers and traders tracking market attention shifts.

How to use Messari Influencer Mindshare and Asset Analysis?

Configure the server by navigating to server.py and ensuring a valid Messari API key is set. The repository includes a Colab notebook (LLM_Mindshare_asset_analysis.ipynb) and a server module. Users run the server to trigger data fetching, anomaly detection, and visualization. Key functions include analyze_mindshare_data (for KOL handles) and analyze_asset_mindshare (for asset slugs).

Key features of Messari Influencer Mindshare and Asset Analysis

  • Fetches daily mindshare data via the Messari API
  • Detects anomalies using z-scores (default threshold: 2.0)
  • Plots mindshare scores over time with highlighted anomalies
  • Provides readable insights on trends, score/rank ranges, and dates
  • Calls Mistral API for sentiment analysis on trending topics
  • Caches Mistral responses and retries on rate limits

Use cases of Messari Influencer Mindshare and Asset Analysis

  • Track mindshare spikes for a crypto asset like official-trump
  • Monitor KOL influence by analyzing Twitter handle mindshare
  • Correlate anomalies with trending topics and market news
  • Generate actionable insights for trading or marketing strategies
  • Compare asset mindshare trends side by side in Colab

Frequently asked questions

1

What APIs does it use?

It uses the Messari Copilot Agent, Current Topics, X-Users Mindshare Over Time, Mindshare of Asset Over Time, and Asset Details APIs.

2

What are the runtime requirements?

The analysis is designed for Google Colab, with interactive plotting. An optional Mistral API key enables sentiment analysis; the script includes retry logic and caching.

3

How does it detect anomalies?

Anomalies are identified using z-scores with a default threshold of 2.0. Points with absolute z-score above the threshold are flagged and highlighted in plots.

4

Can it analyze both assets and influencers?

Yes. `analyze_asset_mindshare` works on asset slugs (e.g., `mantra-dao`), while `analyze_mindshare_data` works on Twitter handles (e.g., `@AltcoinGordon`).

5

Where does the data live?

Mindshare data is fetched live from the Messari API. No data is stored locally; results are displayed directly in the Colab notebook.

Comments

More AI & Agents MCP servers

strac-mcp-dlp

strac-io

Detect and redact PII, PHI, PCI and secrets — SSNs, credit cards, passports, API keys and cloud credentials — in text and in local files, using the Strac DLP API. Five tools: redact_text, detect_sensitive_data, detect_fi

3

TruVerifAI Panel-review

TruVerifAI

TruVerifAI's Panel Review is the guardian agent for AI's highest-stakes coding decisions: four frontier models argue over an AI coding agent's riskiest designs, diffs, and commits before they execute, with local review g

1

BlazingCDN MCP - Content Delivery for Video, Software & Static Files

BlazingCDN

Official MCP server for BlazingCDN - AI agents (Claude, Cursor, Windsurf) manage CDN resources, purge cache, query metrics, domains, Anycast CDN, Video CDN and Media CDN

1

q-ring

I4cTime

Quantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation — CLI + 44 MCP tools.

3

Krafters

Krafters (Romain Duclos)

Krafters is a French club of specialized AIs for freelancers and small businesses. Its connector opens the member's AI kits for Facebook and Instagram ads, SEO/GEO and short videos directly in Claude, and gives the next

Advertise