"A server for finding information about Delphi (programming language or ancient Greek oracle site)" matching MCP servers:

Provides coding tutoring by running checks for common programming tasks (palindrome, prime, Fibonacci, GCD, etc.) and explaining the results in plain language.

Unifies multiple Delphi decompiler engines behind one MCP interface so AI agents can recover class, method, RTTI, and virtual-table symbols from 32/64-bit Delphi binaries (versions 2–13) and gather triage intel such as strings, sensitive imports, DFM forms, and call graphs. It also emits address-to-symbol rename plans (queries, .idc, or JSON) that can be pushed into IDA for interactive analysis.

Enables users to browse, retrieve, and search practical guide topics and ready-made snippets for configuring Delphi projects, DUnitX runners, CodeCoverage CLI invocations, and CI pipelines so coverage works correctly.

Enables building and cleaning Delphi projects (.dproj/.groupproj) on Windows using MSBuild with RAD Studio environment initialization. Supports both individual projects and group projects with configurable build configurations and platforms.

Enables coding agents to find code by what it does rather than what it's called, searching local projects and remote GitHub or Bitbucket repositories all at once. Indexing and semantic search run fully offline with a locally loaded model, so code never leaves the machine.

Enables compilation of Delphi (RAD Studio) Object Pascal projects through natural language commands. Supports automatic Debug/Release builds for Win32 and Win64 platforms using the native Delphi compiler toolchain.

Enables AI coding agents to compile Delphi projects programmatically by parsing .dproj files, executing the Delphi compiler, and returning structured error results with multi-language support and automatic configuration generation from IDE build logs.

Provides AI agents with local Dutch spelling and word validation using OpenTaal/hunspell, plus detailed word information from woordenlijst.org. It enables checking full texts or individual words and retrieving linguistic details for Dutch writing tasks.

Provides access to ancient text corpora via stdio, enabling corpus listing, status checks, searching, and text/metadata retrieval with provenance envelopes.

Provides 23 modular tools for competitive programming, including problem analysis, algorithm planning, code generation, verification, testing, code review, and learning assistance.

Enables Claude Code agents to look up curated per-library documentation domains, GitHub repositories, and personal notes before reading docs or source, so library questions are answered from trusted references instead of blind web searches.

Enables AI applications to run SQL queries and retrieve results from Oracle Database.

Enables Codex to scaffold small framework-free websites and critique them with sourced, severity-annotated findings that teach better design and development choices.

Enables consulting oracle AI models (Codex or Claude) for expert reasoning and analysis on complex problems, architectural decisions, and design tradeoffs through a unified CLI interface.

Enables users and their agents to verify websites in Google Search Console, submit sitemaps, and monitor indexing with a one-time Google sign-in and agent-driven file or DNS placement.

Enables AI coding agents to interact with TypeScript projects through compiler-level code intelligence, providing tools for navigation, type information, diagnostics, refactoring, and semantic search.

Enables site-wide crawling of internal links with BFS traversal, time/title/URL filtering, and page operations like summarization and link clicking, with results persisted to SQLite.

Enables editing a static website from any MCP host using a private working copy, live preview, revision history, and checkpoints, while keeping pause, undo, restore, and export under human control until explicitly confirmed.

A Model Context Protocol server that enables Claude to access and interact with Oracle databases through natural language queries.

Enables AI coding agents to fetch element-specific fix requests from a local development website—including selectors, text, HTML snippets, computed styles, and screenshots—so they can edit source code and update the request status.

Enables AI agents to scan a website into named sections, surface issues like broken links and missing anchors, and reorder or move sections across pages on a drag-and-drop canvas. Exposes the resulting difference between the live site and the plan as plain-language and JSON output so agents can implement the changes in code.

Enables coding agents to point at any part of a live website and capture a pixel-exact rebuild prompt, an exact standalone HTML clone, full design specs, screenshots, and frame-by-frame motion details. It also supports break-it-down lessons explaining how a component is layered and built, and scores an agent's rebuilt component or page against the original band by band to fix mismatches.

Enables AI agents to safely inspect Oracle Database schemas, objects, and PL/SQL source with a strict read-only guard, without ever modifying data.

Enables a machine to expose its registered folders and locally added tools to remote callers over MCP, deciding each request against local policy with default-deny access, per-person tool grants, pre-approval for anything not marked read-only, and an on-machine audit log. Also runs a folder file server offering directory listing, text reading, and text writing where permitted.

Enables users to query dependency security data in natural language, including trust scores for individual packages, full project scans, blast radius analysis, zombie and typosquat detection, package comparisons, and safer migration suggestions. Results can be returned inline or written as JSON reports.

Enables agents to reverse engineer arbitrary websites at the network layer by discovering page HTTP/API requests, inferring REST and GraphQL payload schemas, and exporting OpenAPI drafts. It also lets users register sites, capture and learn read workflows as reusable operations, and invoke those operations or starter adapters for Product Hunt, Reddit, and LinkedIn over stdio MCP.

Enables agents to perform local Houston retail site-selection analysis by calling ArcPy/numpy tools over stdio for geocoding, hex profiling, overlay suitability, embedding similarity, hot-spot detection, and validation, with sources, checks, and caveats included.

coding cli claude code/github copilot will be able to see context of browser/open tab instead of copying back and forth

Enables read-only querying, evaluation, challenge, and judging of an Oracle project's rules and evidence without modifying the filesystem, plus task tracking for agents.

Crawls a website, indexes its content, and answers questions with cited sources over MCP.