"Resources or Information on Finance" matching MCP servers:

Personal finance MCP server that integrates Plaid bank data with local SQLite memory for conversational budgeting, goal tracking, and transaction management.

Enables financial modeling for SaaS and other assets via MCP tools, including simulation, scenario comparison, sensitivity analysis, semantic knowledge search, and persistent context memory.

On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.

Provides tools for managing student knowledge graphs, enabling structured representation of courses, assignments, exams, concepts, and study resources.

Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.

AutoMem MCP provides persistent memory for AI assistants, enabling them to recall information across conversations and platforms with graph-vector retrieval.

Agent memory for facts that change. When a user corrects something, Recall replaces the old fact, tells the agent what it replaced, and keeps the old value in a history. Ask what was believed on any date, see every change to a fact, or diff two dates. Runs locally on polign_db, Postgres with pgvector, MongoDB, or Qdrant. Apache 2.0.

MCP server that exposes a resume as callable tools and resources, enabling AI agents to query experience, skills, projects, and contact information via natural language.

Description: Persistent memory for AI agents with rollback, audit trails, semantic search, and knowledge graph. Zero-config local SQLite or cloud API. 23 tools, 6 resources, 3 prompts.

MCP server for the DYNAMIS doctrine system, providing access to expert knowledge on launches and sales, including resources for indices, skills, tensions, and tools for searching, auditing, and benchmarking.

An MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.

Provides persistent, searchable memory for AI agents, enabling them to retain, recall, and reflect on information across conversations.

Enables AI agents to record, recall, correct, and forget evidence-backed factual claims with temporal history, while explaining whether remembered information is current, historical, or contested.

Exposes a knowledge base to LLM clients through tools, resources, and prompts.

An MCP server that provides semantic memory on top of Qdrant vector search, with tools to store and retrieve information using embeddings.

This MCP server provides persistent memory integration for chat applications by utilizing a local knowledge graph to remember user information across interactions.

A custom Memory MCP Server that acts as a cache for Infrastructure-as-Code information, allowing users to store, summarize, and manage notes with a custom URI scheme and simple resource handling.

Enables users to create, retrieve, update, delete, and full-text search a local knowledge base of notes persisted in SQLite with FTS5, exposed over stdio or authenticated Streamable HTTP. It also surfaces recent/single-note resources and prompts for summarizing notes and drafting replies.

Wraps the Skosmos REST API to enable AI assistants to browse, search, and traverse SKOS vocabularies via MCP tools and resources.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.