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  1. Home
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  3. RoboSystems
RoboSystems logo
Health: ActiveRecent health check succeeded.Last checked 10/8/2026, 1:00:54 AM

RoboSystems

User RatingsBe the first to rate and review this MCP server!
View Repository28 GitHub StarsTotal stargazers on GitHub for the source repository (28 stars).Visit Website
financeaccountingsec-xbrlportfoliosknowledge-graph

Connects AI agents to accounting, investment, SEC filing, ledger, reporting, and forecasting data through a financial knowledge graph.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

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Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "robosystems": {
      "command": "uvx",
      "args": [
        "robosystems-client"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives💰 More in Finance & Fintech

Overview

The RoboSystems MCP server connects AI agents to tenant-specific financial knowledge graphs containing accounting data, portfolio information, and SEC XBRL filings. It supports querying and operating financial data, including ledger workflows, reports, forecasts, and portfolio analysis, through the platform’s MCP surface. The underlying platform preserves relationships among transactions, facts, reporting elements, and calculation structures rather than flattening them into isolated records. Reach for it when an agent needs financial analysis grounded in an organization’s ledger, holdings, or public filing data.

Use cases

•Query SEC filings alongside internal ledger data
•Analyze portfolio holdings and issuer relationships
•Generate financial statements and forecasts
•Review accounting close blockers
•Search uploaded financial documents

Key features

•Tenant-specific financial knowledge graphs
•SEC XBRL filing access
•QuickBooks ledger pipelines
•Accounting reports and forecasts
•Portfolio and securities tracking
•Natural-language and Cypher queries over MCP

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by RoboSystems.

Extracted Tool Capabilities
Tenant-specific financial knowledge graphs
SEC XBRL filing access
QuickBooks ledger pipelines
Accounting reports and forecasts
Portfolio and securities tracking
Natural-language and Cypher queries over MCP

How RoboSystems works

What the RoboSystems MCP server does

The RoboSystems MCP server gives AI agents access to a financial intelligence platform built around knowledge graphs. Each tenant receives a separate graph and an associated OLTP schema, allowing transactions, accounting facts, reporting elements, taxonomies, and calculation structures to remain connected and semantically meaningful.

The platform brings together several types of financial information. An organization’s own ledger can be used alongside portfolio holdings and SEC XBRL filings. Agents and analysts can query this data, operate ledger workflows, close accounting periods, produce reports, and analyze investments. The platform also supports document upload, indexing, and search through full-text and semantic search capabilities.

How it works

The platform API provides MCP access as part of its /v1 surface, alongside authentication, organization management, graph lifecycle operations, Cypher, and REST reads. The web application includes an AI query console that supports natural-language and Cypher interaction over MCP, showing how the MCP layer fits into the broader system.

Business logic is shared across the platform’s APIs and MCP tools. For domain extensions, GraphQL resolvers, REST operation routes, and MCP tools delegate to the same command, read, and analytical-operation functions. Writes use named operations with idempotency support, audit logging, and server-sent event progress streams.

RoboLedger provides accounting and reporting functions, including QuickBooks data pipelines, SEC XBRL financial reporting, account-to-GAAP mapping, financial statements, close workflows, forecasts, and report serialization. RoboInvestor manages portfolios, positions, securities, and holdings, including links to issuer graphs when reports have been shared across graphs.

Tools and capabilities

The RoboSystems MCP server is suited to tasks involving:

  • Querying tenant financial graphs with natural language or Cypher
  • Working with ledger transactions, facts, reporting structures, and calculation rules
  • Reading or operating accounting close, reporting, and forecasting workflows
  • Analyzing portfolio holdings and securities linked to issuing companies
  • Using SEC XBRL filings for financial context and benchmarking
  • Searching uploaded documents with full-text and semantic methods

The platform models domain content as self-describing block molecules. RoboLedger uses information, event, and taxonomy blocks; RoboInvestor uses portfolio blocks containing portfolios, positions, and securities. This structure keeps facts together with their relationships, rules, and verification information.

Limitations and notes

The RoboSystems MCP server is part of a larger platform rather than a standalone accounting database. Access depends on the tenant graph, enabled domain extensions, authorization boundaries, and available shared repositories. Cross-graph investment research is subject to report-sharing authorization.

The supplied material does not identify individual MCP tool names, transport details, client-specific setup instructions, required environment variables, or a license. It also does not establish compatibility with particular desktop or coding clients. Those details should be confirmed from the repository or deployment documentation before implementation.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
28
Stargazers on the source repository.
Last commit
1d ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about RoboSystems

RoboSystems is an MCP server that connects AI agents to tenant-specific financial knowledge graphs containing accounting ledgers, portfolio holdings, and SEC XBRL filings. Its main capabilities include querying financial data with natural language or Cypher, operating ledger workflows, producing reports and forecasts, analyzing investments, and searching uploaded documents.

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Technical Specs & Signals

Category💰Finance & Fintech
More technical detailsExpand ▾
TransportSTDIO
RuntimePython
Last updatedOct 8, 2026
9/9 checks healthy over the last 41d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars28
GitHub Star CountTotal stargazers on GitHub representing community popularity (28 stars).
Last commit1d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 8, 2026
44Quality signal: Fair · 44/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 4d ago via OSV.dev · robosystems-client (PyPI)

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