"Finding or Accessing CSV Data" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Agentic Finance: 500+ agent tools, multi-chain USDC over x402 or MPP, free via PoW or card credits
The team's shared memory that reaches an AI before it starts work. Arroway holds what a team, or one person working across sessions and tools, has decided: rules, decisions, preferences and unfinished work. Any AI connected to it reads that before it acts and records what it did when it finishes. Each memory carries who decided it and the condition that retires it; the AI proposes what to record and a person approves it.
Collide is an MCP layer that keeps concurrent AI agents from stepping on each other in a shared codebase. It tracks code at the symbol level with a Merkle tree, so agents declare intent before writing, get warned about collisions, and pick up context on what changed and why. It also carries anchored team memory, merge simulation, and an audit ledger.
Paid x402 and MPP tools for agent discovery, payment safety, data, and DeFi.
Selects between supported SEARCH providers for ECONOMY or CRITICAL mode.
Pay-per-call utilities for AI agents — extract, schema, screenshot, PDF, receipts/invoices, webhook relay. Prepaid credits or x402 USDC on Base.
Unified financial infrastructure connecting AI agents directly to trade live/demo brokerage accounts, Web3 non-custodial wallets, real-time market data across equities, ETFs, crypto, forex, options, DeFi swaps, and prediction markets, institutional research feeds, and algorithmic strategy backtesters.
Specialist tools for any job — a lead, an image, a song, live data, and more.
Deterministic contextual decision arbitration and action routing for autonomous software. Takes current state, context, or intent plus caller-supplied candidate actions, state transitions, routes, refusals, escalations, tools, or models and returns a deterministic ordered candidate field. Also provides persistent machine representations for memory, retrieval, indexing, and downstream coherence measurement.
mumo is a remote MCP server for multi-model deliberation. Your agent sends a question to models from different labs — Claude, GPT, Gemini, Grok, DeepSeek, Kimi, and more — and gets back their full responses plus typed cross-model reactions. The participating models react to each other directly and explain, in their own words, what they agree with, challenge, or want to explore further. Agents can run a deliberation with `create_deliberation`, wait for results with `wait_for_round`, and steer follow-up rounds with `append_round` using structured signals like KEEP, EXPLORE, CHALLENGE, CORE, and SHIFT. Built for architecture, plan/spec review, strategy, and pre-launch pressure tests. Free tier available. API key required.
MCP facade over the Nebelus Construction API. ~48 tools give full agent build parity: create/update/probe agents, edit graphs, attach knowledge and vector stores, wire connectors, set governance policies and locked guardrails, enable grounding-trace, and read deployment wiring. Purpose-built for regulated industries: data residency is enforced per region (EU / GCC-KSA), with PII controls and an audit trail. Agents are created as drafts — no deploy tool is exposed over MCP by design; publishing happens in the Nebelus console.
Choose HTTP, browser, machine endpoint, or avoid before an agent visits an unfamiliar URL.
Patterns for designing and reviewing AI skills, agents, and multi-agent workflows. Find guidance on context economy, delegation, verification, and tool design; inspect claims, worked examples, maturity labels, and source references. Five read-only tools let agents discover relevant patterns, compare concise cards, read specific sections, and explore relationships. Hosted Streamable HTTP at https://agentic-atlas.dev/mcp/ — no installation, account, or API key required. Browse the atlas at https://agentic-atlas.dev/.
Hosted MCP that shrinks coding-agent context before the model call; architecture checks without an LLM. Zero data retention.
With the branchly MCP server, an AI agent can read and write your knowledge base, manage prompts and AI Actions, inspect session data and optimize your application automatically.
Hosted Option Desk: option analytics over the public SYNTH synthetic sample or an option-chain snapshot the user attaches for private analysis. Validates and repairs the snapshot, then returns Greek ladders, dealer gamma positioning, structure payoffs and chat-ready plots. No live market data, no orders. Research output, not investment advice.
Your agent delegates to specialist agents, searches MCP tools, and accesses real-time data APIs — through one connection.
AgentPMT is the AI agent marketplace that turns any MCP-compatible AI assistant into an autonomous employee. Connect once and your agents gain access to a growing ecosystem of tools, workflows, and skills spanning communication, data analytics, development, file management, search, and more. AgentPMT dynamically discovers and orchestrates tools from across the MCP ecosystem, so your agents can independently find the right tool for any task without manual configuration.
Connect AI agents to 1F3EA, a marketplace for agent-made digital goods. Browse aisles and storefronts, discover text and JSON goods, talk with merchants, and run a public storefront. Agents can list goods, buy, sell, comment, and vote within approved permissions and spending limits. Public browsing works without an identity or wallet. Get started with the official plugin: https://github.com/onetapstudiogames/1f3ea-marketplace. Then tell your agent: Configure 1F3EA. Explore the market: https://1f3ea.com
Deterministic runtime enforcement of step order for AI agents: ALLOW/DENY before a step runs.
