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Frontrun MCP Server

Frontrun MCP Server

by jongall45

Frontrun MCP Server

VC follow intelligence for AI agents. Track what top investors follow on X — detect new follows, convergence signals, and trending companies before they're announced.

33 tools. Version 2.5.2.

Setup (1 minute)

No API key needed. Log in with your frontrun.vc account:

# Step 1: Log in — opens browser, saves credentials locally
npx frontrun-mcp-server --login

# Step 2: Auto-configure your client
npx frontrun-mcp-server --setup         # Claude Desktop
npx frontrun-mcp-server --setup-code    # Claude Code (uses `claude mcp add`)

Credentials are saved to ~/.frontrun/credentials.json. Other commands:

npx frontrun-mcp-server --status   # Check auth status
npx frontrun-mcp-server --logout   # Clear saved credentials

Option B: Hosted endpoint (no install)

The server is also hosted at https://www.frontrun.vc/mcp (streamable HTTP). Point any remote-capable MCP client at it with your API key:

claude mcp add --transport http frontrun https://www.frontrun.vc/mcp --header "Authorization: Bearer sig_your_key_here"

Option C: Manual API key

If you prefer to use an API key directly, go to frontrun.vc → Settings > API Keys and generate a key (starts with sig_).

claude mcp add frontrun -e FRONTRUN_API_KEY=sig_your_key_here --scope user -- npx frontrun-mcp-server

Or add to .mcp.json in any project:

{
  "mcpServers": {
    "frontrun": {
      "command": "npx",
      "args": ["frontrun-mcp-server"],
      "env": {
        "FRONTRUN_API_KEY": "sig_your_key_here"
      }
    }
  }
}

Add to your config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "frontrun": {
      "command": "npx",
      "args": ["frontrun-mcp-server"],
      "env": {
        "FRONTRUN_API_KEY": "sig_your_key_here"
      }
    }
  }
}

Add to .cursor/mcp.json in your project:

{
  "mcpServers": {
    "frontrun": {
      "command": "npx",
      "args": ["frontrun-mcp-server"],
      "env": {
        "FRONTRUN_API_KEY": "sig_your_key_here"
      }
    }
  }
}
FRONTRUN_API_KEY=sig_your_key_here npx frontrun-mcp-server

Start asking questions

Open your AI tool and try:

"What's trending in my tracked accounts this week?"


Related MCP server: Spectre

What can I ask?

Here are real prompts that work out of the box. Just type them into Claude Code, Claude Desktop, or Cursor.

Daily deal flow

  • "What are the trending companies this week?"

  • "Show me what my tracked VCs followed in the last 48 hours"

  • "Any convergence signals? Who are multiple VCs following independently?"

Deep research

  • "Tell me everything about @hitdotone — who founded it, what they're building, and who's backing them"

  • "Who are the founders of @someproject and what's their background?"

  • "What funding has @tempofinance raised?"

Discovery

  • "Find me early-stage DeFi companies that my tracked VCs are following but I'm not tracking yet"

  • "What sectors are getting the most attention from VCs right now?"

  • "Search for stablecoin startups in the follow graph"

Portfolio monitoring

  • "Track @a16zcrypto and @paradigm"

  • "Show me a16zcrypto's recent follow activity and what sectors they're focused on"

  • "Find VCs with similar follow patterns to @multicoin"

Custom intelligence

  • "Create a rule to flag any stablecoin neobank companies"

  • "Tag @hitdotone as a portfolio candidate"

  • "Show me all entities matching my stablecoin rule from the last 7 days"


How it works

Frontrun monitors the X (Twitter) follow graphs of VCs and investors you choose to track. When a VC follows a new account, Frontrun detects it, classifies the entity (startup, protocol, founder, etc.), and makes it queryable through AI.

The signal: VCs typically follow companies 2-8 weeks before a funding announcement. Convergence — multiple VCs independently following the same account — is the strongest signal.

Receipts: @techdollarhq flagged at 13 followers, $3M pre-seed announced 123 days later · @orthogonal_sh flagged 184 days before its $4.3M round led by Pantera · @rialto_xyz flagged at 18 followers, 26 days before its Robinhood partner announcement.

What you're paying for: Every response is computed intelligence, not raw data. Sectors are classified by AI, convergence is detected algorithmically, and company profiles are synthesized from multiple sources.


Pricing

API + MCP access is included with the Pro plan ($99/mo) — it comes with 10,000 credits every month, and you can add more (or turn on auto-refill) at frontrun.vc/api/billing. Each query costs credits:

What you're doing

Credits

Check your balance, list tracked accounts, manage rules/tags

Free

Preview an account, search, view sectors, pull a report

4

New follows, enriched follows, feed, company signals

16

Trending scan, VC activity

24

Thesis search, webhook setup (then 8/delivery)

40

Company deep-dive: overview, funding, convergence, resources, discover, similar VCs

60

Founder intelligence

100

A typical daily check-in (feed + convergence + a few company deep-dives) runs ~300 credits — an included month covers it more than 30x over. Agent-scale usage is what auto-refill is for.


All available tools

The agent has access to these tools automatically. You don't need to call them by name — just ask your question and the agent picks the right tool.

Tracking

Tool

What it does

frontrun_status

Your balance, tracked count, usage stats

frontrun_list_tracked

All accounts you're monitoring

frontrun_track

Start monitoring an X account

frontrun_untrack

Stop monitoring an account

frontrun_preview

Preview an account before tracking — signal score, sector hints, recommendation

Signals

Tool

What it does

frontrun_new_follows

New follows detected across your tracked accounts

frontrun_snapshot

Current follow list for a specific tracked account

frontrun_enriched_follows

New follows + AI classification + custom rules applied

frontrun_convergence

Multiple tracked accounts following the same entity

frontrun_trending

Entities ranked by follow velocity

frontrun_search

Search discovered entities by sector, keyword, type

frontrun_thesis_search

Semantic search — describe a thesis in plain language, get matching companies

frontrun_feed

Real-time activity feed across all tracked accounts

frontrun_sectors

Sector breakdown of discovered entities

frontrun_discover

Personalized recommendations — "accounts your VCs follow that you're not tracking"

frontrun_reports

Generated intelligence reports for your tracked accounts

Company intelligence

Tool

What it does

frontrun_company

Company overview — what they do, sector, stage

frontrun_company_founders

Founder profiles, backgrounds, previous companies

frontrun_company_signals

Social buzz, sentiment, notable engagements

frontrun_company_resources

Website, GitHub, docs, community links

frontrun_company_funding

Funding rounds, investors, amounts

VC intelligence

Tool

What it does

frontrun_vc_activity

VC follow patterns — velocity, sector focus, recent follows

frontrun_vc_similar

Find VCs with overlapping follow patterns

Classification

Tool

What it does

frontrun_classify

Run AI classification on specific entities

frontrun_create_rule

Create a custom classification rule

frontrun_list_rules

List your rules

frontrun_update_rule

Update a rule

frontrun_delete_rule

Delete a rule

frontrun_tag

Tag an entity with custom labels

frontrun_list_tags

List your tagged entities

Webhooks

Tool

What it does

frontrun_list_webhooks

List your registered webhooks

frontrun_create_webhook

Register a webhook for new_follows / convergence events

frontrun_delete_webhook

Delete a webhook


REST API

Prefer HTTP? Every tool maps to a REST endpoint. Base URL: https://frontrun.vc/v1

# Set your key
export FR_KEY="sig_your_key_here"

# Check your account
curl -sL -H "X-API-Key: $FR_KEY" "https://frontrun.vc/v1/status"

# What's trending?
curl -sL -H "X-API-Key: $FR_KEY" "https://frontrun.vc/v1/trending?since=168h"

# Convergence signals
curl -sL -H "X-API-Key: $FR_KEY" "https://frontrun.vc/v1/convergence?since=168h"

Full REST docs: frontrun.vc/docs/api


Support

License

MIT

Available Tools

18 tools
frontrun_account_activityA

Get activity profile for a tracked account: follow velocity, sector distribution, snapshot coverage, and recent follows with classification. Use this to analyze a specific VC's recent behavior.

Inputs: username (required), since.

frontrun_classifyC

Run classification on specific entities. Returns AI classification merged with your custom rules and tags. Use this to analyze entities on demand.

Inputs: usernames, twitter_user_ids.

frontrun_convergenceA

Detect convergence: entities followed by multiple tracked accounts independently within a time window. Higher threshold = stronger signal. This is the highest-signal endpoint — when 3+ VCs independently follow the same account, it strongly suggests pre-funding interest.

Inputs: threshold, since.

frontrun_create_ruleA

Create a custom classification rule. Rules auto-tag entities matching conditions (bio keywords, sector, username pattern). Use this to build custom watchlists, sector taxonomies, or competitor tracking.

Inputs: name (required), conditions (required), actions (required).

frontrun_delete_ruleC

Delete a custom classification rule.

Inputs: id (required).

frontrun_enriched_followsB

Get new follows with full enrichment: AI classification + your custom rules + your custom tags, all merged. This is the most powerful endpoint for custom workflows.

Inputs: since, username.

frontrun_list_rulesB

List your custom classification rules.

Inputs: no named parameters.

frontrun_list_tagsA

List your custom-tagged entities. Filter by tag name or sector.

Inputs: tag, sector.

frontrun_list_trackedB

List all accounts currently being monitored for follow activity.

Inputs: no named parameters.

frontrun_new_followsA

Detect new follows across tracked accounts by diffing consecutive snapshots. Returns who each tracked account recently followed. Use this to see what VCs/accounts noticed recently.

Inputs: since, username, classify.

frontrun_snapshotA

Get the current follow list (latest snapshot) for a tracked account. Shows everyone they currently follow.

Inputs: username (required).

frontrun_statusB

Get account status: balance, tracked account count, usage stats (last 30 days), and pricing.

Inputs: no named parameters.

frontrun_tagB

Add custom tags, sector override, or notes to a specific entity. Use this to build custom watchlists, mark competitors, or annotate companies.

Inputs: twitter_user_id, username, tags, custom_sector, +2 more.

frontrun_trackB

Start monitoring a Twitter/X account. When this account follows someone new, it will appear in new follows and convergence data. Costs $0.10 for standalone users, free for SaaS Pro+.

Inputs: username (required).

frontrun_untrackA

Stop monitoring a Twitter/X account.

Inputs: username (required).

frontrun_update_ruleB

Update an existing custom classification rule.

Inputs: id (required), name, conditions, actions, +1 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.6/5.0

    Scored across 18 tools

    Disambiguation5/5

    Every tool has a clearly distinct purpose with no ambiguity. For example, frontrun_account_activity analyzes a specific account's behavior, frontrun_convergence detects multi-account follow patterns, and frontrun_new_follows shows recent follows from tracked accounts. The descriptions clearly differentiate each tool's function, making misselection unlikely.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with the 'frontrun_' prefix, such as frontrun_create_rule, frontrun_list_tags, and frontrun_track. This uniformity makes the toolset predictable and easy to navigate, with no deviations in naming style.

    Tool Count4/5

    With 18 tools, the count is slightly high but reasonable for the server's purpose of monitoring and analyzing social media follow activity. It covers tracking, classification, rule management, and data retrieval comprehensively, though it might be borderline heavy for some use cases.

    Completeness5/5

    The toolset provides complete CRUD/lifecycle coverage for the domain, including tracking (track/untrack), rule management (create/update/delete/list), data retrieval (account_activity, snapshot, new_follows), and analysis (convergence, trending, search). There are no obvious gaps that would hinder agent workflows.

    Maintenance

    ActivityInactive
    ResponsivenessOutdated data

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