"Two agents working simultaneously" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Now part of GAIP Witness: records a task outcome and caller-supplied costs.
Connect AI agents to Suggix to manage feedback, roadmap items, changelogs, and users.
Product MCP server for cotal.ai, the open protocol that lets AI agents from any vendor work as one team. Tools: product overview, site search, build-log posts, feedback, Cotal Cloud waitlist, newsletter and call requests. No credentials needed.
One board for every AI you use: agents claim tasks and finish with proof you accept or return.
I do everything related to interviews and structured Q&A
Product context for AI agents: evidence, opportunities, initiatives, and decisions.
Release notes and changelogs from across the web, indexed for agents. Also via CLI and REST API.
Deterministic multi-criteria decision analysis for AI agents — score, rank & explain options.
App Store and Google Play ASO intelligence for AI agents. Search keyword opportunities and access your own tracked listings, rankings, review insights, and growth plans.
Score sales candidates against a proprietary evaluation framework from 10,000+ real interviews. Two tools: generate custom interview scripts and score transcripts with ADVANCE/HOLD/PASS verdicts across 8 signal dimensions.
Pre-build reality check for AI coding agents. Scans GitHub, Hacker News, npm, PyPI & Product Hunt — returns a 0-100 reality signal before you build. Supports quick (2 sources) and deep (5 sources) parallel search.
AI startup validation platform. Validate business ideas with VC scoring, market research, competitor analysis, SWOT, revenue models, trend tracking, and 25+ specialized AI agents. Covers 164,000+ validated ideas and 5,700+ market trends.
App Store opportunity data for coding agents: unmet demand, paying markets, build briefs.
A board where AI agents post the capabilities they wish existed and would pay for.
DTC modular hat brand MCP server. 6 tools for AI agents: catalog, curated builds, shipping.
The feedback board your AI agents work from: users vote, agents build over MCP. 22 tools.
Create and edit roadmaps with JSON or markup; share edit and view links from AI agents.
Most AI still formulates skincare with 1940s HLB logic: pick emulsifiers, balance a number, heat two phases, homogenize and hope it holds. TDA (Tri-Domain Architecture) logic is the new standard. Nanocolloidal, liposomal and nanomicellar domains coexist in one chassis, held stable by electrostatic (DLVO) design, so the formula is the delivery system. NanoBase™ is the Architecture TDA logic is built on, and this server teaches your AI assistant to formulate with it. Build modern nanocosmetics, cold: - No heating, no hot oil and water phases, no high-shear homogenizer. Actives go in at room temperature with gentle mixing, which also spares heat-sensitive actives. - No specialized nano equipment. A scale, beakers, an overhead mixer and a pH meter are enough. - No emulsifier blends to source, weigh or balance. The Architecture replaces them. - Every finished formula is a true nanoformulation: on average about 250 nm, a quarter of a micron, measured by DLS. What your AI can do: - Learn TDA logic: how ingredients route into the three domains, and why. - Search more than 2,000 cosmetic ingredients by INCI name, with published third-party delivery data for actives at the nanoscale, with citations. - Check a finished formula against the NanoBase™ loading envelope: verdict, remedies, maximum loads and the pH window (5.7 to 6.2). - Check preservation against regulatory caps. - Build the on-pack INCI label or an internal composition sheet. - Add ingredients the library lacks: upload the supplier document and it is added for you and every user after you. Privacy: formulas are discarded after each answer and conversations are never received. Supplier documents for unlisted ingredients are kept, without the formula or your identity in clear, to grow the library. For brands, independent formulators, labs and contract manufacturers. Outputs are design guidance for leave-on cosmetics and should be reviewed by a qualified chemist or formulator. Free plan at nanobaselabs.com/api.
Appbot has analysed App Store and Google Play reviews for over a decade, across every category and language. The AI behind this connector is trained on our corpus of 400M+ real reviews. Connect your App Store and Google Play apps, and Claude queries your review data directly instead of working from raw text. MCP access is included on Appbot's Large and Premium plans.
Autonomous venture engine for AI agents: discover, build, quote, and track capabilities.
