"Resources for Personal Finance and Budget Management" matching MCP servers:

MCP server scaffold for budget tooling, currently only provides a placeholder ping tool returning 'pong' to confirm plumbing works. No real budget functionality yet.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

MCP server for estimating LLM token consumption and costs from project documents, code, and materials. Provides 8 tools including project budget planning, token/cost estimation, GitHub repo analysis, and pricing refresh.

Model-agnostic code memory MCP server using budget-aware graph retrieval for AI agents, providing sub-millisecond queries, token budgeting, and deterministic results without embeddings or vector databases.

Enables auditing MCP servers' tools by their estimated context token cost, ranking verbose names, descriptions, and schemas before they consume the agent window. Can run as an MCP tool so agents can budget their own context.

Enables a Claude Code agent to fetch remaining 5-hour and weekly subscription usage limits, reset times, and per-window breakdowns as JSON. It provides the same figures as /usage through a local, read-only tool.

A personal MCP server built with Python FastMCP, offering tools for paper retrieval, dataset analysis, project scaffolding, and directory utilities, with stdio and HTTP transport plus optional bearer token authentication.

A personal GitHub engineering assistant that enables repository management, project publishing, code and engineering-memory search, Project Euler solution workflows, and repo analysis through natural language.

Aggregates your digital footprint (GitHub, blogs, resume) into a single AI-readable profile and exposes it via MCP tools so AI agents can query your context live.

Manages Supabase projects, databases, edge functions, secrets, and branches across organizations using the Supabase Management API with 24 tools.

Enables AI agents to call deterministic finance tools (compound interest, loan payment, currency conversion, etc.) through MCP, with a shared tool registry used by both the agent loop and MCP clients.

Exposes personal portfolio data as tools for Claude to answer questions about the developer, including profile, skills, experience, projects, and contact information.

Provides full read/write access to the GitHub REST API via a single tool using a personal access token.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Connects AI assistants to your n8n instance to manage workflows, executions, credentials, and user settings through 31 specialized tools. It enables users to perform n8n operations like workflow creation, activation, and execution history retrieval via natural language.

MCP server for managing AI prompts with CRUD operations, categorization, and tagging. Enables users to store, organize, and retrieve their favorite prompts efficiently.

Budget & cost control for AI agents: hard per-agent spend caps, rate limits, idempotency, and human-in-the-loop approval — enforced before each LLM call, not after the invoice. One hosted MCP endpoint (no proxy or self-hosting), settled via x402 (USDC on Base).

A containerized MCP server with a management dashboard, enabling Google sign-in, token and OAuth client management, and a Streamable HTTP endpoint for MCP tools. It also includes a built-in chat assistant for AI model interactions.

Enables AI agents to work with administrator-approved Git repositories on a self-hosted VPS, supporting cloning, file edits, and full Git operations within persistent workspaces.