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Declarative open-source framework for MCPs with search and execute

Details

External ID
47142975
Source
HN
Company
—
Product
Declarative open-source framework for MCPs with search and execute
Website domain
hyperterse.com
Launched
Feb. 24, 2026
Cohort
—
Upvotes
11
Upvotes percentile
0.5707547169811321
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

Hi HN,I’m Samrith, creator of Hyperterse.Today I’m launching Hyperterse 2.0, a schema-first framework for building MCP servers directly on top of your existing production databases.If you're building AI agents in production, you’ve probably run into agents needing access to structured, reliable data but wiring your business logic to MCP tools is tedious. Most teams end up writing fragile glue code. Or worse, giving agents unsafe, overbroad access.There isn’t a clean, principled way to expose just the right data surface to agents.Hyperterse lets you define a schema over your data and automatically exposes secure, typed MCP tools for AI agents.Think of it as: Your business data → controlled, agent-ready interface.Some key properties include a schema-first access layer, typed MCP tool generation, works with existing Postgres, MySQL, MongoDB, Redis databases, fine-grained exposure of queries, built for production agent workloads.v2.0 focuses heavily on MCP with first-class MCP server support, cleaner schema ergonomics, better type safety, faster tool surfaces.All of this, with only two tools - search & execute - reducing token usage drastically.Hyperterse is useful if you are building AI agents/copilots, adding LLM features to existing SaaS, trying to safely expose internal data to agents or are just tired of bespoke MCP glue layers.I’d love feedback, especially from folks running agents in production.GitHub: https://github.com/hyperterse/hyperterse

Enrichment

Theme
database infrastructure and developer tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
mcp framework with search and execution
Manually corrected
False

Could you build this?

Partial Building a standard MCP server runtime is straightforward, but creating an optimized declarative database introspector and robust two-tool 'search and execute' catalog abstraction across heterogeneous databases requires non-trivial protocol and query engine engineering.

What it would actually take: The architecture requires an MCP-compliant protocol server (JSON-RPC over stdio/HTTP/SSE) combined with database schema reflection engines (libSQL/SQLite, Postgres, etc.) and AST SQL builders. The challenging piece is dynamic parameter resolution, safe query sandboxing, and hierarchical tool indexing (search/execute) to prevent LLM context bloat. Implementing this reliably needs experienced systems and database connectivity engineers.

Discussion

4 comments analyzed.

Competitors mentioned: Cloudflare Code Mode, Obsidian CLI

Concerns raised: Limited language support (TypeScript only, not Go or Ruby), Sandboxing complexity for languages beyond TypeScript

Feature requests: Support for multiple programming languages, Ruby on Rails integration

Competitors

Other products that read as similar to this one — 157 launches clear the similarity bar, closest 8 shown.

Attention rank: #71 of 158 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 112 days after the earliest competitor.

Other launches for this product

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