Oracle Forms MCP
Enables AI assistants to inspect and query Oracle Forms modules (blocks, triggers, program units, etc.) without Forms Builder, supporting reverse engineering, code review, and modernization.
README
Oracle Forms MCP
An MCP server that serves the content of Oracle Forms modules
(.fmb forms, .mmb menus, .pll PL/SQL libraries, .olb object libraries) found in a
directory, so AI assistants can inspect blocks, items, triggers, program units, and raw object
XML without opening Forms Builder.
<!-- mcp-name: io.github.aoreshkov/oracle-forms-mcp -->
Built as a Kotlin Multiplatform core (pure @Serializable models and ports) with a JVM MCP
server on top: declarative tool adapters over a single FormsService, stdio and HTTP transports,
and a fingerprint-based on-disk cache. Oracle tool conversion feeds a streaming StAX parser that
turns Forms XML into a structured index.
Why
Oracle Forms applications from the 1990s–2000s are still running critical business processes, but
their logic is locked inside binary .fmb/.pll modules that only Forms Builder can open. That
makes them opaque to modern AI tooling and painful to review, document, or migrate.
Oracle Forms MCP turns those modules into structured, queryable content so an AI assistant can:
- Understand a legacy app — enumerate blocks, items, triggers, and program units without a Forms IDE.
- Review & document PL/SQL — pull decoded trigger and program-unit bodies straight into the model's context.
- Assist modernization — feed decades-old business logic to an assistant for migration to APEX, Java, or a rewrite, and search across every module's source.
- Capture & retain knowledge — let the assistant record notes, tags, and cross-references on individual elements that persist across sessions and re-indexing, building up a durable map of a form no one fully remembers.
It is aimed at developers and teams doing Oracle Forms modernization, reverse engineering, code review, and documentation — anyone who needs to read Forms logic faster than opening it by hand.
See it work
<!-- TODO: record a short asciinema/GIF of a Claude session and embed it here:
(drop the file at docs/demo.gif or an assets/ path) -->
A typical session against the bundled sample-forms directory:
You: What does ORDERS.fmb do?
AI → list_modules → ORDERS.fmb (NOT_CACHED), MAINMENU.mmb, UTILS.pll …
AI → fetch_module ORDERS.fmb → converted + indexed (2 blocks, 3 triggers, 3 program units)
AI → get_module_overview ORDERS → blocks, triggers, LOVs, record groups, windows, canvases …
You: Show me the validation logic on the ORDERS block.
AI → list_triggers block=ORDERS → WHEN-VALIDATE-ITEM (on ORDER_ID), WHEN-VALIDATE-RECORD
AI → get_trigger ORDERS WHEN-VALIDATE-ITEM → the decoded PL/SQL body
You: Where else is the CALC_TOTAL procedure called?
AI → search_source "calc_total" scope=plsql → hits across triggers and program units
You: That validation is the legacy pre-2010 path — note it so we remember.
AI → annotate_element ORDERS trigger WHEN-VALIDATE-ITEM kind=note "Legacy pre-2010 validation path" → saved
(next session) get_trigger ORDERS WHEN-VALIDATE-ITEM → body + the stored note inline
How it works
list_modulesscans the configured--forms-dir(non-recursive) and reports each module's cache status:NOT_CACHED,CACHED,STALE(source changed on disk), orSOURCE_MISSING.fetch_moduleproduces the module's text form in the cache and indexes it:ORACLE_HOMEset — binaries are converted with the Oracle tools in%ORACLE_HOME%\bin:frmf2xmlfor.fmb/.mmb/.olb(XML),frmcmp_batch(Module_Type=LIBRARY Script=YES) for.pll(a.pldtext dump).ORACLE_HOMEnot set — pre-converted files are expected next to the modules (orders_fmb.xml,dupes_fmb.xml,mainmenu_mmb.xml,objects_olb.xml,utils.pld) and copied into the cache.
- A single StAX pass parses the XML into a structured index (blocks with items, triggers with
decoded PL/SQL, program units, LOVs, record groups, windows, canvases, …). PL/SQL bodies are
extracted to
.sqlsidecar files; every named XML element gets a line-range reference soget_object_xmlcan slice it back out of the converted file. - The other tools read the cached index. Caching is fingerprint-based (size + mtime + sha256 of
the source file): editing a module marks it
STALEand read tools ask for a re-fetch. annotate_elementandrelate_elementslet the assistant write durable meta-information back about individual elements (notes, tags, summaries, classifications, cross-references). This is kept in a separate store — not the derived index — so it survives re-fetching, and the read tools surface it inline. An annotation made before a source change is flagged, never dropped.
Tools
| Tool | What it returns |
|---|---|
list_modules |
Every module in the forms dir with type, size, and cache status |
fetch_module |
Converts + indexes one module (idempotent; progress notifications) |
get_module_overview |
Names of every section + counts — the first call after a fetch |
list_blocks |
Blocks with base table, item count, trigger count |
get_block |
One block in full: items (type, column, canvas, prompt) + trigger names |
list_triggers |
Triggers with level/scope; filter by block, item, or level (verbosity=detailed adds a PL/SQL preview) |
get_trigger |
One trigger's decoded PL/SQL body |
list_program_units |
Procedures, functions, package specs/bodies with line counts |
get_program_unit |
One program unit's PL/SQL (disambiguate spec/body via unitType) |
search_source |
Line search over extracted PL/SQL (plsql), the raw XML (xml), or both; paginated via offset/nextOffset |
get_object_xml |
The raw XML fragment of any named object — the escape hatch |
Annotations
Meta-information the assistant records back about an element rather than reads from it —
semantic notes, tags, classifications, and cross-reference relations. It is persisted in a durable
store, kept separate from the derived index (not in the protocol _meta field), so it survives
fetch_module re-indexing and is served back to later sessions. Each entry carries its author and
is flagged staleAgainstSource when it predates the module's current source, so a note is never
silently dropped. The read tools above (get_module_overview, get_block, get_trigger,
get_program_unit, get_object_xml) surface an element's annotations inline.
| Tool | What it does |
|---|---|
annotate_element |
Store a note / summary / tag / classification about one element |
relate_elements |
Record a directed cross-reference between two elements (e.g. a trigger calls a program unit) |
get_element_annotations |
The notes and relations stored about one element |
search_annotations |
Search a module's stored notes/tags/relations by text, kind, or tag |
remove_annotation |
Delete a stored annotation or relation by id |
Plus a resource per cached module (oracleforms://ORDERS.fmb/index), the
oracleforms://{module}/index and oracleforms://{module}/annotations resource templates, and an
explain_module prompt.
Quick start
Requires a JRE 21+. Build and install:
gradlew :server:installDist
Register with Claude Code (stdio):
claude mcp add oracle-forms -- server/build/install/server/bin/server --forms-dir C:\path\to\forms
<details> <summary><b>Other MCP clients</b> (Claude Desktop, Cursor, VS Code) — via the Docker image</summary>
The published image runs the server over stdio with no local build. Point the volume mount at
your forms directory (copy-mode: the pre-converted *_fmb.xml/*.pld files must sit next to the
modules — see Docker).
Claude Desktop (claude_desktop_config.json) and Cursor (~/.cursor/mcp.json) use the same shape:
{
"mcpServers": {
"oracle-forms": {
"command": "docker",
"args": ["run", "-i", "--rm",
"-v", "ofmcp-cache:/home/mcp/.cache", "-v", "/path/to/forms:/forms",
"ghcr.io/aoreshkov/oracle-forms-mcp", "--forms-dir", "/forms"]
}
}
}
VS Code (.vscode/mcp.json) uses a servers key instead:
{
"servers": {
"oracle-forms": {
"command": "docker",
"args": ["run", "-i", "--rm",
"-v", "ofmcp-cache:/home/mcp/.cache", "-v", "${workspaceFolder}/forms:/forms",
"ghcr.io/aoreshkov/oracle-forms-mcp", "--forms-dir", "/forms"]
}
}
}
The ofmcp-cache named volume keeps the parsed-module cache and — more importantly — the durable
annotation store across container restarts; --rm removes the container but not a named volume. Drop
it and the notes/tags/relations the assistant records won't survive the next run. See
Docker for the bind-mount variant and its one-time chown.
Prefer the native launcher? Swap "command": "docker", "args": [...] for
"command": "/abs/path/to/server/build/install/server/bin/server", "args": ["--forms-dir", "/abs/path/to/forms"].
</details>
Try it without any Oracle installation using the bundled fixtures:
server --forms-dir sample-forms
HTTP transport:
server --forms-dir C:\forms --transport http --port 3000 # endpoint: http://127.0.0.1:3000/mcp
Docker (copy-mode only)
A container image is published to ghcr.io/aoreshkov/oracle-forms-mcp. Oracle's frmf2xml /
frmcmp_batch binaries are proprietary and not bundled, so the image works only in
copy-mode: the modules you mount must already have their pre-converted text form
(*_fmb.xml/*_mmb.xml/*_olb.xml/*.pld) sitting next to them. For live .fmb/.pll
conversion, run the server on a host with an Oracle Forms installation (ORACLE_HOME set).
docker run -i -v /path/to/forms:/forms ghcr.io/aoreshkov/oracle-forms-mcp --forms-dir /forms
Persisting the cache and annotations. Without a volume, the cache and the durable annotation
store live in the container's writable layer and are discarded when it exits. Mount a volume at
/home/mcp/.cache to keep them across runs:
docker run -i -v ofmcp-cache:/home/mcp/.cache -v /path/to/forms:/forms \
ghcr.io/aoreshkov/oracle-forms-mcp --forms-dir /forms
A named or anonymous volume inherits the image's non-root ownership (uid 10001) and just works.
A host bind mount does not — Docker never chowns the target — so run chown 10001 /host/cache
once on the host first, or redirect the writes with --cache-dir / --annotations-dir onto a path
the container user can write.
Options
--forms-dir <path> Directory containing the Forms modules (or pass it positionally)
--transport stdio|http Transport (default: stdio)
--port <int> HTTP port (default: 3000)
--allowed-host / --allowed-origin Extra HTTP hosts/origins (localhost-only by default)
--cache-dir <path> Cache override (default: OS cache dir + /oracle-forms-mcp)
--annotations-dir <path> Durable annotation store (default: <cache dir>/annotations)
--conversion-timeout <sec> Kill a stuck conversion (default: 120)
Cache
%LOCALAPPDATA%\oracle-forms-mcp (Windows), ~/Library/Caches/oracle-forms-mcp (macOS),
$XDG_CACHE_HOME/oracle-forms-mcp (Linux). One directory per module:
ORDERS.fmb/
converted/orders_fmb.xml converted (or copied) text form
plsql/triggers/*.sql decoded trigger bodies
plsql/program-units/*.sql decoded program units
plsql/menu-items/*.sql menu-item command bodies (menu modules)
index.json the structured index
Safe to delete at any time; modules are simply re-fetched.
Annotations are not part of this derived cache. They live in a separate annotations/ store
(one NAME.ext.json per module, defaulting to <cache dir>/annotations, overridable with
--annotations-dir), so deleting a module's cache entry — or re-fetching it — leaves the notes,
tags, and relations you recorded intact.
Notes on the Oracle tools
frmf2xmlwrites its output into the process working directory; the server runs it with the module's cache dir as cwd and passesOVERWRITE=YES USE_PROPERTY_IDS=NO.frmcmp_batchis preferred overfrmcmp(headless); the server passesScript=YES Batch=YES Logon=NOand augmentsFORMS_PATHwith the forms dir so attached libraries resolve.- Forms tools have unreliable exit codes — success is judged by the output file existing, being non-empty, and being newer than the invocation; failures surface the tool's output tail.
.pldfiles may be written in the client NLS charset; the parser reads UTF-8 with a windows-1252 fallback (setNLS_LANGaccordingly if you see mojibake).
Development
gradlew build # compile + all tests (no Oracle installation needed)
gradlew updateKotlinAbi # refresh the ABI dump (core/api/*.api) after public API changes
gradlew :server:run --args="--forms-dir sample-forms"
Converter behavior is tested against a fake ORACLE_HOME (stub scripts); the full copy-mode
pipeline is covered end-to-end by FormsServiceIntegrationTest against the bundled fixtures.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。